3490 lines
1.4 MiB
Plaintext
3490 lines
1.4 MiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 2,
|
||
"id": "63f43af5",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import numpy as np\n",
|
||
"import os"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 3,
|
||
"id": "97da3d1c",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"base_dir = os.path.dirname(os.path.abspath('.'))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"id": "b0ee2af1",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Smoothed columns created:\n",
|
||
"['VO2(ml/min)_smoothed', 'VCO2(ml/min)_smoothed', 'HR(bpm)_smoothed', 'VT(l)_smoothed', 'BF(bpm)_smoothed', 'VE(l/min)_smoothed', 'VO2 Pulse_smoothed', 'VO2 Breath_smoothed', 'CHO_smoothed', 'FAT_smoothed']\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"/tmp/ipykernel_38292/3076306744.py:3: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n",
|
||
" df = df.apply(pd.to_numeric, errors='ignore')\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"df = pd.read_csv(f'{base_dir}/data/Pnoe_20250729_1550-Moran_Keirstyn.csv', delimiter=';')\n",
|
||
"# Convert all columns to numeric where possible, coercing errors to NaN\n",
|
||
"df = df.apply(pd.to_numeric, errors='ignore')\n",
|
||
"df['VO2 Pulse'] = df['VO2(ml/min)'] / df['HR(bpm)'] # VO2 Pulse in mL/beat\n",
|
||
"df['VO2 Breath'] = df['VO2(ml/min)'] / df['BF(bpm)'] # VO2 per Breath in mL/breath\n",
|
||
"df['CHO'] = df['EE(kcal/min)'] * df['CARBS(%)']/100\n",
|
||
"df['FAT'] = df['EE(kcal/min)'] * df['FAT(%)']/100\n",
|
||
"# Smooth key columns using rolling window\n",
|
||
"window_size = 10\n",
|
||
"\n",
|
||
"# List of columns to smooth\n",
|
||
"columns_to_smooth = ['VO2(ml/min)', 'VCO2(ml/min)', 'HR(bpm)', 'VT(l)', 'BF(bpm)', 'VE(l/min)', 'VO2 Pulse', 'VO2 Breath', 'CHO', 'FAT']\n",
|
||
"\n",
|
||
"# Apply smoothing to each column\n",
|
||
"for col in columns_to_smooth:\n",
|
||
" if col in df.columns:\n",
|
||
" df[f'{col}_smoothed'] = df[col].rolling(window=window_size, min_periods=1).mean()\n",
|
||
"\n",
|
||
"print(\"Smoothed columns created:\")\n",
|
||
"print([col for col in df.columns if '_smoothed' in col])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"id": "99116a35",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_2 = pd.read_excel(f'{base_dir}/data/SECA body comp for all patients.xlsx')\n",
|
||
"spirometry_data = pd.read_csv(f'{base_dir}/data/spirometry_data.csv')\n",
|
||
"oxygenation = pd.read_csv(f'{base_dir}/data/Keirstyn Train Red NIRS Muscle Oxygen.csv')\n",
|
||
"oxygenation_2 = pd.read_csv(f'{base_dir}/data/muscle_oxygenation.csv', skiprows=445)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"id": "fbd292c3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"22.369999999999997\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"print(df['VO2 Pulse'].max())"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "4c439b2c",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 800x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Filter df_2 for Keirstyn Moran\n",
|
||
"keirstyn_data = df_2[df_2['LastName'].str.contains('Moran', case=False, na=False)]\n",
|
||
"# Get the fat mass percentage for Keirstyn\n",
|
||
"fat_percentage = keirstyn_data['Adult_FMP'].iloc[0]\n",
|
||
"weight_kg = keirstyn_data['Weight'].iloc[0]\n",
|
||
"age = keirstyn_data['Age'].iloc[0]\n",
|
||
"gender = keirstyn_data['Gender'].iloc[0]\n",
|
||
"lean_percentage = 100 - fat_percentage\n",
|
||
"\n",
|
||
"# Create donut chart\n",
|
||
"fat_mass_lbs = 27.6\n",
|
||
"lean_mass_lbs = 95.4\n",
|
||
"\n",
|
||
"# Calculate percentages from the provided weights\n",
|
||
"total_weight = fat_mass_lbs + lean_mass_lbs\n",
|
||
"fat_percentage = (fat_mass_lbs / total_weight) * 100\n",
|
||
"lean_percentage = (lean_mass_lbs / total_weight) * 100\n",
|
||
"\n",
|
||
"# Data for the chart\n",
|
||
"sizes = [fat_percentage, lean_percentage]\n",
|
||
"colors = ['#fde3ac', '#ff9966'] # Light yellow/tan and orange from the image\n",
|
||
"\n",
|
||
"plt.figure(figsize=(8, 8))\n",
|
||
"\n",
|
||
"# Create the donut chart without labels first\n",
|
||
"wedges, texts, autotexts = plt.pie(sizes,\n",
|
||
" autopct='', # Remove auto percentages\n",
|
||
" startangle=90,\n",
|
||
" wedgeprops=dict(width=0.5, edgecolor='w'),\n",
|
||
" colors=colors,\n",
|
||
" labels=['', '']) # Remove default labels\n",
|
||
"\n",
|
||
"# Add custom text annotations positioned manually\n",
|
||
"plt.text(-1, 1, 'Fat Mass (27.6lbs)\\n22.4%', \n",
|
||
" fontsize=14, fontweight='bold', ha='center', va='center',\n",
|
||
" bbox=dict(boxstyle=\"round,pad=0.3\", facecolor='white', alpha=0.8))\n",
|
||
"\n",
|
||
"plt.text(1, -1, 'Lean Mass (95.4lbs)\\n77.6%', \n",
|
||
" fontsize=14, fontweight='bold', ha='center', va='center',\n",
|
||
" bbox=dict(boxstyle=\"round,pad=0.3\", facecolor='white', alpha=0.8))\n",
|
||
"\n",
|
||
"# Set the title\n",
|
||
"plt.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle\n",
|
||
"plt.savefig(f'{base_dir}/graphs/body_composition_chart.png', bbox_inches='tight', dpi=600)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "a565f1b3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1000x200 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import seaborn as sns\n",
|
||
"\n",
|
||
"# Set a common style\n",
|
||
"sns.set_theme(style=\"whitegrid\")\n",
|
||
"\n",
|
||
"# Define the segments with muted colors\n",
|
||
"segments = [\n",
|
||
" ('#F8A8A8', 0, 15), # Muted Red/Salmon: 0% to 15%\n",
|
||
" ('#FFEECC', 15, 5), # Pale Yellow/Cream: 15% to 20%\n",
|
||
" ('#D0F0C0', 20, 15), # Pale Green/Mint: 20% to 35%\n",
|
||
" ('#FFEECC', 35, 5), # Pale Yellow/Cream: 35% to 40%\n",
|
||
" ('#F8A8A8', 40, 10) # Muted Red/Salmon: 40% to 50%\n",
|
||
"]\n",
|
||
"\n",
|
||
"target_value = 22.4\n",
|
||
"demographic = \"20-39\\n(F)\"\n",
|
||
"\n",
|
||
"fig, ax = plt.subplots(figsize=(10, 2))\n",
|
||
"\n",
|
||
"# Create the Segmented Bar\n",
|
||
"for color, start, length in segments:\n",
|
||
" ax.barh(y=0, width=length, left=start, height=1, color=color, edgecolor='black', linewidth=0.5)\n",
|
||
"\n",
|
||
"# Add the Indicator (Triangle)\n",
|
||
"ax.plot(target_value, 1.05, marker='v', color='black', markersize=10, clip_on=False, transform=ax.get_xaxis_transform())\n",
|
||
"\n",
|
||
"# Set Axis Properties and Labels\n",
|
||
"ax.set_xlim(0, 50)\n",
|
||
"ax.set_xticks(range(0, 51, 5))\n",
|
||
"ax.set_yticks([])\n",
|
||
"ax.text(-0.05, 0, demographic, transform=ax.get_yaxis_transform(), va='center', ha='right', fontsize=12)\n",
|
||
"\n",
|
||
"ax.set_xlim(0, 50)\n",
|
||
"ticks = range(0, 51, 5)\n",
|
||
"ax.set_xticks(ticks)\n",
|
||
"labels = [f\"{t}%\" for t in ticks]\n",
|
||
"ax.set_xticklabels(labels)\n",
|
||
"# Clean up spines and add small ticks\n",
|
||
"ax.spines['right'].set_visible(False)\n",
|
||
"ax.spines['top'].set_visible(False)\n",
|
||
"ax.spines['left'].set_visible(False)\n",
|
||
"ax.spines['bottom'].set_visible(True)\n",
|
||
"\n",
|
||
"for x in range(0, 51, 5):\n",
|
||
" ax.plot([x, x], [-0.05, -0.01], color='black', transform=ax.get_xaxis_transform(), clip_on=False)\n",
|
||
"\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.savefig(f'{base_dir}/graphs/body_fat_percent_chart.png', bbox_inches='tight', dpi=300)\n",
|
||
"plt.show() # This is where the file is saved and displayed above."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 104,
|
||
"id": "470e871e",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Displaying Metabolism Chart...\n",
|
||
"Measured RMR: 1385 kcal/day, Predicted (Mifflin-St Jeor): 1242 kcal/day, Ratio: 1.12\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "iVBORw0KGgoAAAANSUhEUgAABHMAAADcCAYAAADz0O1fAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAM25JREFUeJzt3Xl0FGW+//FPZ9/3BEIICQSCLJIgBFkVZARGQFlm3FC56nU5bnjv4Pa7KoojzojjXFScGcdxuXgdVFwQlMWRXbYgq4QggUBAAmQhCUk6Syf1+yM3ZTp7QjAUeb/OyTndVU9VP91VYtenv89TNsMwDAEAAAAAAMASXNq7AwAAAAAAAGg+whwAAAAAAAALIcwBAAAAAACwEMIcAAAAAAAACyHMAQAAAAAAsBDCHAAAAAAAAAshzAEAAAAAALAQwhwAAAAAAAALIcwBAAAAAACwkF8kzHnvvfdks9nMP+BS8kuf3zVf67333mu3fgAAAAAA2kerwpzFixdr/Pjx6tSpk9zd3RUYGKju3btr9OjRmjVrllatWtXW/exQal+UN/T33HPPtVufWuq5556r0/9XX3213rZPPfVUnbY1Q4vWqtmH2NjY894fAAAAAADtwa2lG9xxxx1atGiR07KCggIVFBTo6NGjWr9+vY4dO6bx48e3WSdxaVq4cKEeffRRubj8nCna7Xb9/e9/b8deWVdSUpLmz5/f3t0AAAAAAFxgLQpzVq5c6RTkDBo0SOPHj5efn5+ysrK0c+dObdmypc072dHdf//9iouLq7N8+PDh7dCbtnPkyBEtX75c119/vbnsf//3f5WTk9OOvbKufv36qV+/fu3dDQAAAADABdaiYVarV682H/fs2VPbtm3Tiy++qKeeekqvvvqq1q1bp6ysLD322GMt6oTdbtef//xnjRgxQsHBwfLw8FCnTp103XXX6eOPP3Zqe/bsWbm6uprDZTZs2GCue+utt8zl06ZNM5dXVFTI39/fXPfRRx812p/bb7/dbDt69Og661esWGGud3V11fHjxyVJ2dnZmj17tvr16ydfX195eHioc+fOGjJkiB566CFt3bq1RZ9LtZtuukmzZ8+u81cd5uTm5urxxx/X2LFjFRsbK39/f/MzvPbaa7Vo0SIZhlFnv19++aUmTJhgDpcLCAhQXFycpkyZopdeekmVlZU6evSobDab7rzzTqdtz3e4V3U1zmuvvea0vPq5q6trk/vYs2eP7rrrLsXFxcnb21t+fn4aOHCg5s2bp6KiIrPdunXrZLPZ9Pzzz5vLjh07Vu8wrvT0dD366KMaNWqUoqOj5evrK09PT0VFRWny5MlatmxZk/0qLy/X73//e/Xs2VNeXl7q0aOH5s6dq7Kysnrbf/rpp5o4caI6d+4sDw8PBQcHa/jw4frTn/6k4uLiJl+vWmND4VpyblZ/XtV/Bw8e1Jw5cxQTEyMfHx8NGTJEK1eulCRlZWXp7rvvVnh4uLy9vTVy5Eht3Lix2X0GAAAAALSC0QIPP/ywIcmQZISFhRlpaWnN2u7dd981t6v9kpmZmUa/fv2c1tf+mz59ulFeXm5uM3DgQHPdiy++aC6/7bbbzOXh4eHm8uTkZKf9nT59utH+fvvtt2ZbFxcX48SJE07rb7/9dnP9uHHjDMMwDLvdbvTu3bvR9/HEE0+06vNau3Zto+337dvX6OtKMu68885GX6O+P7vdbqSnpzfZbs6cOU2+pzlz5jhtM2XKFPPx/v37DcMwjDVr1pjLpk6d6tT+3Xffddrfm2++abi5uTXYp759+xqZmZmGYRjG2rVrm3wP1ftftmxZk22ff/75Rj/LiRMn1rvd9ddfb1RWVprbORwO48Ybb2z0tfr06WOcPHnS6fUa+lwa+u+spedm7c9r0KBBddq7uLgYixcvNrp3715nnaenp5GSktLkOQEAAAAAaJ0WDbO64oorzMfZ2dmKj49XYmKikpKSNGjQII0ZM0Y9e/ZsyS41Y8YM7d+/33z+m9/8Rn379tU333xjDtn69NNPNW/ePD377LOSpDFjxmjXrl2S5FQFUPNxVlaWDhw4oD59+jgt79evnyIiIhrt05gxYxQbG6ujR4+qsrJSixcv1u9+9ztJVVVEX3zxhdm2umJl7dq1OnjwoCTJy8tLd999t6KionTq1CmlpaVp/fr1Lfpcavroo4+0Y8eOOsvvvfdeBQQEyMXFRX369NGQIUPUuXNnBQUFqaSkRLt27dKyZctkGIbeffdd3X///RoyZIgk6S9/+Yu5n6SkJE2aNEkOh0PHjx/Xtm3bdODAAUlSSEiI5s+frx07djhVNNWcm6U1w71mzZplfo6vvfaa/vrXv5pVOS4uLnrooYf0+eef17vt5s2b9dBDD6myslKSNHToUE2YMEHnzp3T+++/r+zsbKWkpOiOO+7Q6tWrFRcXp/nz52v16tX65ptvJEnBwcH6f//v/zl9BpLk5uamxMREDR48WOHh4QoICFBRUZG+++47rV27VpL0wgsvmMe3Pl9//bVuv/12devWTZ9++qlSU1MlVVVCLVq0SHfccYckad68eU6VZ0OHDtW4ceN04MABffLJJ5KkAwcOaMaMGVqzZk2LP+Nq53tufv/997rpppvUo0cPvfHGGzp37pwqKyt18803S6qqZAsLC9Prr78uh8Oh0tJSLViwQH/9619b3WcAAAAAQCNakvyUl5cbgwcPbvQX/pEjRxq7d+922q6hioFdu3Y5LX/88cfNdQ6Hwxg2bJi5LiQkxKioqDAMwzCWL19uLg8ICDAqKiqM48ePm8tCQ0MNScbf/vY3wzAMpyqQhx9+uFnv9bnnnnOqTKj28ccfm8uDg4ONkpISwzAM47PPPjOXjx8/vs7+SkpK6lT4NKQ5VTOSjPT0dKftjh07ZixZssR44403jFdeecWYP3++ERUVZbafO3eu2XbAgAHm8i1bttTpQ3p6uvl519enlqpdmXPu3Dlj+PDhhiTD19fX2Llzp+Hi4mJIMiZPnlynIqhmBUrNqp3Ro0c79XP79u1O2+3Zs6fePsTExDTa34MHDxqLFy82Xn/9dfOz9PHxMbf/n//5nwY/m5rVYvn5+UZYWJi5bsSIEYZhGEZFRYUREhJiLh82bJjhcDjM7R5//HGnfe7atctc19Dn0tAxaum5Wbsy59///d/NdU899ZTTugcffNBcd/PNN5vLr7jiikY/XwAAAABA67WoMsfNzU1r1qzRSy+9pHfeeUenT5+u02bTpk269tprtX//foWHhze6v9qTJc+cOdN87Orqqttuu81sk5ubq4MHD6pPnz4aNWqUXF1dVVFRoYKCAu3du9esJImOjtb48eP19ttva+PGjbr33nu1adMmc79jxoxp1nv9t3/7Nz3//PMyDEPff/+9Dh06pF69eumf//yn2eaWW26Rp6enpKrKDk9PT5WWlmrVqlXq16+fBgwYoPj4eA0cOFBjx45tsJLjfOXk5GjmzJn66quvGm134sQJ8/GoUaO0d+9eSdK1116rYcOGqVevXurbt6+uuuoqXX755RekrzXNmjVLmzdvVlFRkSZPnmxW2jzyyCONbvfdd9+Zj9etW9fo/DqbN2/WgAEDmt2no0ePasaMGdq8eXOj7Wp+lrXdfvvt5uOAgABNnjxZ7777riRp586dkqSDBw8qNzfXbHfbbbc5vY+ZM2fq5ZdfNp9v2bJFiYmJzX4fNZ3vuXnbbbeZj2vf0v3GG280H9ecpPvs2bOt6isAAAAAoGktmgBZkvz9/TVv3jxlZmbqhx9+0D/+8Q/NnDlT/v7+ZpusrKw6ty+vT82LWUnq1KlTo8+rLxADAgI0ePBgc/nGjRvNoVQjR47UyJEjJUkbNmzQgQMHlJ2dLalq+E59ExrXJyYmRtdcc435/MMPP1R+fr6+/vprc9ldd91lPu7atavee+89hYWFSZJSUlK0ePFizZ07V1OnTlWXLl20ePHiZr12bWvXrpVhGHX+qi+s77777iaDHEkqLS01H8+bN0+//vWvJUmFhYX65ptv9Oabb+qhhx7SgAEDNHr0aKdJhC+EadOmqWvXrpKkn376SVLVMLhf/epXjW5X+7xpTFZWVov6NGXKlCaDHMn5s6yt9jC+muex3W5XaWlpq8/91jjfc7NLly7mYw8PjwbXubn9nA1XB3MAAAAAgLbXosqcmmw2m3kr5LvuukvPPfec4uLizIu4Q4cONbmPkJAQp+enT59WaGio0/OagoODzcdjxozRtm3bJFWFOdWVOaNGjdKoUaMkSRkZGfrggw/MbRISEpz20ZQ777xT3377rSTpn//8p7p162ZexA8YMECDBg1yan/zzTdr+vTp2r59u/bt26dDhw5p7dq12rVrlwoLC3X33Xdr0qRJ8vPza3YfmlJUVKTly5ebz8eOHau33npLMTExcnV11ZAhQ5ScnFxnu4CAAH399dc6ceKEtm7dqh9//FEpKSn6/PPPVVxcrPXr1+vll192ugNUW3Nzc9MDDzzgNHfNww8/3OR2ISEhOnPmjKSq8O6GG25osG1L5vM5ePCg9uzZYz6/9dZb9fLLL6tLly6y2WyKiIhoVjh05swZRUdHm89rnsdeXl7y9PSs99xv7HlLztv6nM+56e7u3uB+awY4AAAAAIBfRouuxN5//32VlJTolltuUUBAgNM6X19fubi4mGFOUFBQk/urfaH9/vvv649//KOkqtuJ1wxiQkJC1Lt3b/P5Nddcoz/84Q+SpG+//dasXBg1apR69OihLl266OTJk1q4cKHTNi0xbdo0BQYGKj8/XwcPHtQLL7xgrqt9q+7c3FydO3dOMTExGjFihEaMGCGpqqKi+sK9uLhYBw8erBMCnY/8/HxVVFSYzydOnKgePXpIqgonqodS1fbDDz+od+/e6tq1q37zm9+Yy2fNmmVORFw9JEiqe0FfXFwsHx+f8+7/vffeqxdeeEF2u13BwcFOQ5QaMnz4cHPy5FOnTpkTQddkt9v1ySefOJ1jNd9Dfbf8zsnJcXr+m9/8xhx+tG7dumZX+SxatMgMqAoKCpxuZ1597Hv37q2QkBCzQueDDz7QfffdZw61ev/99+u859Zqr3MTAAAAAHBhtCjMSU9P1/PPP69HH31UI0eOVGJiokJCQpSTk6MlS5bI4XCYbSdMmNDk/hISEjR27Fiz+uXll1/WkSNH1K9fP61evdppTp1Zs2bJxeXnUWEjRoyQh4eHysrKzAvikJAQ9evXT1JVqPPRRx8pPz/f3Ka58+VU8/b21s0336y//e1v5vuXqkKBGTNmOLX98ccfNWzYMCUlJSkhIUFdunSRm5ubVq5c6dSuOSFXS0RERCgoKEh5eXmSpN///vc6c+aMHA6H3nnnnQaHA82ePVvbt2/X2LFjFR0drfDwcJ08edKc26V2X2vPqXLrrbdq+PDhcnFx0e23315nWFBzhYaGavXq1crOzlZkZGSzAqLf/e53Wrp0qQzDUFpamvr3769p06apU6dOys/P1759+7R+/XoVFRWZd46q/R6ysrJ05513qm/fvrLZbHrwwQfVs2dPp0By1qxZ2r17t3Jycpw+l6Y8/fTTSk1NVUxMjJYsWWIO85Oke+65R1LVkL//+I//0DPPPCOpak6ckSNHaty4cUpNTXW6y9WYMWOUkJDQ7Nevrb3OTQAAAADABdKS2ZJr35Goob977rnHabvG7oSUmZlp9O3bt9H9TZ8+3SgvL6/Tn1GjRjm1mzx5srnujTfecFrn5uZmFBQUtOTtGoZhGNu2bavTn2nTptVpt2XLliY/l/q2q0/tz2vt2rWNtv/DH/5Q7+v179/fGDRokPl85syZ5jbjx49vtK9eXl7G9u3bzfYlJSVGZGRkvW2Tk5ObfE/13c2qMY3dzcowDGPhwoWGm5tbk595TZmZmU53pKr5l5WVZRiGYdx///31rh87dqzTncHmzJlj7rf28Ro9enS9+5g4caJRWVlpbudwOIzf/va3jfa/T58+xk8//eT0Phr6XBr676yl52btu1nVvGta7deoua4ldwsDAAAAALReiyZAfvTRR7VkyRI98MADGjJkiLp16yZvb295eHgoKipK119/vT799FO99dZbzd5n586dlZycrD/96U8aNmyYAgMD5ebmpvDwcE2YMEGLFy/WkiVL6p2bo3alTfXEx5LMeXOqDRo0yGmS5uYaMmSIWe1TrfYQK6lq2Myf/vQnTZs2TfHx8QoMDJSrq6uCg4M1YsQILViwoNUTIDfliSee0MKFCxUfHy93d3d17txZ99xzj9avX9/g/DyPPfaYZs2apaFDhyoqKkoeHh7y9PRUjx49NHPmTG3fvl1JSUlme09PT3399dcaN25cnSFN7eGBBx7Qrl27dO+99yo+Pl4+Pj5yc3NTp06ddPXVV+uZZ55xmv9GqjrXli1bphEjRsjX17fe/b7++uuaO3euYmJi5O7urm7duumxxx7TsmXLmj0/zIoVK/TMM8+oe/fu8vDwUGxsrObMmaNPP/1UNpvNbOfq6qqPP/5Yn3zyia677jpFRETIzc1NgYGBuvLKKzV//nwlJyc7TTLcGu15bgIAAAAA2p7NMAyjvTsBAAAAAACA5mnxrckBAAAAAADQfghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAsxK29OwAAAHAh5eTk6Ny5c222v4CAAIWEhLTZ/gAAAFrKZhiG0d6dAAAAuBDKy8s1e/ZsFRQUtNk+AwMDNX/+fLm7u7fZPgEAAFqCYVYAAOCS5ebmptDQUNlstjbZn81mU0hIiNzcKG4GAADthzAHAABcsmw2m6ZOnaq2KkQ2DENTp05ts3AIAACgNQhzAADAJa1///7q3r37eQcwNptN3bt3V//+/duoZwAAAK1DmAMAAC5pbVWdQ1UOAAC4WBDmAACAS975VudQlQMAAC4mhDkAAOCSd77VOVTlAACAiwlhDgAA6BBaW51DVQ4AALjYEOYAAIAOobXVOVTlAACAiw1hDgAA6DBaWp1DVQ4AALgYEeYAAIAOo6XVOVTlAACAixFhDgAA6FCaW51DVQ4AALhYEeYAAIAOpbnVOVTlAACAixVhDgAA6HCaqs6hKgcAAFzMCHMAAECH01R1DlU5AADgYkaYAwAAOqSGqnOoygEAABc7whwAANAhNVSdQ1UOAAC42BHmAACADqt2dQ5VOQAAwAoIcwAAQIdVuzqHqhwAAGAFhDkAAKBDq67OkURVDgAAsATCHAAA0KHZbDZNnz5dkZGRmj59OlU5AADgomczGronZy3LtO1C9wUAAKDdDM/t295dAAAAUGiIf5NtqMwBAAAAAACwEMIcAAAAAAAACyHMAQAAAAAAsBDCHAAAAAAAAAshzAEAAAAAALAQwhwAAAAAAAALIcwBAAAAAACwEMIcAAAAAAAACyHMAQAAAAAAsBDCHAAAAAAAAAshzAEAAAAAALAQwhwAAAAAAAALIcwBAAAAAACwEMIcAAAAAAAACyHMAQAAAAAAsBC39u4Amifli2SlLv1ekjTo7tGKGXlZu/SjKLtAqx77UJIU1jtSVz15Q7v0AwAAAACAjqpDhjllhSX6ccUe5R4+pbPpWaooc0iSuo2I1+B/v8ap7cGvdun0vgwVns5XWWGJZLPJJ9RPEX27Kn7iQPmE+Dm1Lzh5VgeX7VT2j5kqyS+WzaWqfaf+0eo96Qp5BfqYbXe8vUYZ3/3YYD/Hz79VvmEBrX6flY4KZWw+pBPb05Sfka1ye5k8A3zk1zlQUYPjFD20p9y9PVq9fwAAAAAA8MvrkGFOcW6hfvx6V7PaHt1wQEVnCpyWFZ7KV+GpfJ3cma6xL9woTz8vSdK5zLNa98JncpSUm22Nip/bn9qTobEv/FZunu5t92YaYD9bqC2vrVLe0Szn5bmFsucWKivlJ3kFeqvLFd0veF8AAAAAAEDb6ZBhjouri8J6RyokrrNKz9l1bGNqg21De3VW99F95dcpUG6e7so9cloHln4vo6JSJXnF+in5iHqM6StJSl93wAxyAqND1XfaEJUXl2rP/25SeXGZirIKdHrfcUUN7uH0Gp6BPrrygWvrvLZXoG+r3l+lo0JbFqxU3rFsSZK7j4d6jU9QSFwnVTgqlJt2Wkcbec8AAAAAAODi1SHDnICoEHOulyNr9zca5tQedhXRr6vOpmcpc9dRSZKjpMxcV27/+XHs1X0UmRgjScrcdVQ/7TgiSTIqKuu8hqubi8LiI1v8PiodFdry2kqd3nfcfM2BM6/SsU0HzSDH5mLTqCeuV1C3MHO7yIQYxV+XaPbXUVqufR9t0dn0LNlzC1VWVCpXDzcFdAlW7FWXKfaqPk32paLMoZTPk3VyZ7rsuYWyubjIM8BbQd3CFD08XlGDqAACAAAAAKAtdMgwp7UqyhzKPXJauWmnzGXhfaJ+fnxZFzMYOrr+gHzC/FVeVKozKSckSZ4B3oroH11nvyX5xfrq0f9RWWGJvIJ81HlAN112/SB5BzVcmWMYhr7/xzozyOk2PF4D77hKNptNJ7YfNttFD493CnKquXt7mPPlOErKlb42xWm9w16m3MOnlXv4tOxni9TnhsGNfja7P9hUKxSrVHH2ORVnn5OrhxthDgAAAAAAbYQwpxlO7cvQ5le/dlrmGeijftOHKDg23FwWPayXCk6eVdqqvco/nqMt/73CXNc5IUYDbh0uD1/POvuvdFSqNL9YkmTPKVT62hRl7j6mMc9Mk3dw/YHOvsWbdXzrIUlSVFIPDbp7tGwuNklS/vEcs11Yr6Yrflw93NRnapL8I4Pk7uMhF1cXlebblfJ5sgpP5+vQyj3qPXGgXNxcG9xHdaWST6ifLr95uNy83WXPKVL2wZNyY5JlAAAAAADaDGFOK7m4ukiG4bTMZrPJr1OgPAO9Zc8pdFqXcyhTWQd+kl9EoLnM3cdTsVddprDLusgzwFv5x7KVunyXHPYylZwtUsrnyRp01+g6r3342/3mxMaRibFKunesbC4u5vqaw728gn3qbF+bu7eHgrqF6fC/9invWLbKi0tlVP783hwl5TqXmafA6NAG92FzdTHfk29EgPwjg+Xq7qrYq9rnFuoAAAAAAFyqCHOaISSuk6566oaqoUdHzujHr3fLnluone+ul2eAjzk3zrFNqdr5zjpJUtTgHho48yqVFZdqy4KVOnfyrHa9t0EBXUIU2quzJCnh1hFOr9OpX7Q8/L3NfZzel1Fvf6qDHJ8wf1354LV1KmbcvT2qbqMuqeRscZPv76cdR7Rt4epG25QXlza6PnbUZTq4fKfyj+dozZwlsrnY5Nc5SJ36R6vXrxMaHTIGAAAAAACaz6XpJvDw8VRYfKQ6J8So79QkxV+XaK6rHuokSenrD5iPe/06QR5+XvKLCFTMiHhz+cld6Y2+VkiPCPNx6bmSettUD6cqzj6ntG/21Vlfs4Imp8b8Pg058u0P5uNuI3trxOyJuuqpGxTRr6u53KhVhVRb32lJSrr/V4pK6iG/zkGSzaZzJ88qbfVefffKV6qsZ+JnAAAAAADQclTmNKKizCFXj3o+ItvPD2tWrFRXw0iSo8Txc5v/u1151fKqx+X2MpXmF1cFHzXkHj5jPvYK8K63X70nXaEja/arrLBEP3yyVd7Bvooe2stc33VInLIO/CRJytj8o3pee3mdIVLl9jKV28vkE+Ine16RuTxxxki5ebnLqDRkP1ukloi+sqeir+wpSaood2jHW2v0044jKvgpV4Wn8hQQFdKi/QEAAAAAgLo6ZJjjKC3X6b1VQ5iqb+EtScU5hfopuepOUMHdI5SV+pPSVu9T1yt7yj8ySK7ubso9clo/fr3b3CYo5ucJkAO6hKjwVL4kad9Hm9V3apLKikqVvmb/z+3/785SZUUl+ubpjxU1qLs6J8bIK8BHeceylLp8l9k2cmBsvf33DffXsEfGa+PLy1XpqND3/1grr0Af885aMSN768jaFOVnZMuoqNSGP36pXhMSFNI9QhWOCuWmndbRjakaeMco+YT4ySfU3+x3yufJ6tQ/Whmbf9S5k2eb/Zmuf/ELBcWEKbh7hLyDfVVeUq6CGttXOqjMAQAAAACgLXTIMKf0nF3b3vymzvLs1JPKTj0pSRp092hJVXeGqnl3qJr8I4PUa0KC+bz35Ct0+ofjqihzKD8jR1sWrHRqHxAVrG7Dfx5yZVRU6sT2w063Eq/m1zlIfaYmNfgeQntF6oq7rtaOt9ao0lGpra+v0lVP3aDA6FC5uLlq+KMTtGXByqoJjYtKlfLp9gb31f3qPjqzv+r26Wmr9ypt9V65uLsqKDbcnJ+nKaXn7DqyZr+k/XXW+XcJVmA0VTkAAAAAALSFDhnmNFdIXCfFXt1HuWmnZc8rksNeJjcvd/l1DlKXgbHqMba/3Gvcdjs4Nlyjn5mmH7/apewfM1WSXyybi02+Yf6KTIxV/KSB5rAt7yBfDb7nGp3cma784zkqyauaqNg3PEBdBnVXrwkJTvuuT7dh8So8la/UL79Xub1M3/35a43+r6nyCfWTd7CfRj89VRmbf9SJbWnKy8hRub1Mnv5e8usUqKghcWYlT1RSnAbOLNWhlXtUnFuowK4h6n/jMB3blNrsMKf3xIHK3H1M+RnZKj1XosqKSnkH+6rT5dHqc8Ngp7ttAQAAAACA1rMZTc1s+3+WaduF7gsAAEC7GZ7bt727AAAAoNAQ/ybbUC4BAAAAAABgIYQ5AAAAAAAAFkKYAwAAAAAAYCGEOQAAAAAAABZCmAMAAAAAAGAhhDkAAAAAAAAWQpgDAAAAAABgIYQ5AAAAAAAAFkKYAwAAAAAAYCGEOQAAAAAAABZCmAMAAAAAAGAhhDkAAAAAAAAWQpgDAAAAAABgIYQ5AAAAAAAAFkKYAwAAAAAAYCGEOQAAAAAAABZCmAMAAAAAAGAhhDkAAAAAAAAWYjMMw2jvTgDoeJ566imdOnXKaVnnzp310ksvtVOPcDHjfEFLcL6gJThf0BKcLwAuFlTmAAAAAAAAWAhhDgAAAAAAgIUQ5gAAAAAAAFgIYQ4AAAAAAICFEOYAAAAAAABYCGEOAAAAAACAhRDmAAAAAAAAWAhhDgAAAAAAgIXYDMMw2rsTAAAAAAAAaB4qcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALMStvTsA4ML5wx/+oIMHD0qS5s+fr7CwMKf1O3bs0MKFCyVJ1157rW699dZfvI/1OXz4sL788ktlZGSosLBQPj4+Cg0NVbdu3TRt2jQFBARI+vn9hYaG6pVXXmnnXqMpzTmuHNNLT1lZmWbNmqWSkhJJUo8ePfTMM8+0c69wKXr77bf13XffNbi+vv8Pno/U1FSlpqZKksaNGycfH5822zeqWPF7zC99Hkqci0BHRWUOcAkbMmSI+XjHjh111tdcduWVV/4ifWpKSkqK5s2bp7179yovL08Oh0MFBQVKT0/X+vXrVVBQ0N5dRCtwXDuuPXv2mEGOJB05ckTZ2dnt2COgbaSmpmrp0qVaunSpiouL27s7lyQrfo9pD5yLQMdEZQ5wCRs8eLA+/PBDVVRUKDk5WRMmTDDXlZeXa8+ePZKksLAwxcXFnffrlZWVycPD47z2sXLlSlVWVsrb21v/+Z//qZiYGJ07d04ZGRnatm2b3Nz4Z8uKOK4d1/bt2+ss27ZtmyZOnPiL9sPhcMjFxUUuLvyO1RE88cQTuuyyy9q7GzhPVvweUxPnIYALiW/PwCUsICBAl112mfbv32/+Gl5d2rt3717z1/Kav3wlJyfrm2++0fHjx+VwOBQZGanRo0drzJgxstlskqQvvvhCS5culSQ9/vjjWrVqlVJTU9WnTx8dP35cOTk56tmzp/7rv/7L3O+qVau0ePFiSdKzzz6r7t2719vnrKwsSVJQUJDi4uJks9kUEhKikJAQJSYmNut9HzlyRMuWLVNaWprsdruCg4OVmJioG264QX5+fpKkp556SqdOnVKfPn30+OOPS5LeeOMNff/99059/9vf/qatW7fK19dXr732GheCrXS+x5Vjak0lJSXau3evJKlfv346ceKE8vPzzTAnOTlZb775piTpkUce0cCBA81tH3/8cWVlZTkNyzp16pSWLVumlJQUnTt3Tv7+/kpISNDUqVMVGBgoScrOztZjjz0mSZo8ebJsNps2bNig/Px8vfHGGzp8+LBWrVqlkydPqrCwUIZhKCwsTElJSZo0aZLThVxGRoY++OADHT16VMHBwbr++ut14MABcwjFu+++a7ZtTt/QvoqLi7Vo0SIdO3ZMeXl5Kisrk6+vr+Lj4zVlyhRFRUWZbffv36/ly5frxIkTKikpkZ+fn7p27aoxY8boiiuu0OzZs5WTk2O2rz7nGCLatqz4PaY5OBcBtAW+wQKXuIZKlJOTk83H1aXJX3zxhd58800dOnRIJSUlcjgcOn78uBYtWqQPPvig3v0vXLhQe/bsUWlpqWw2m8aMGSNJSktLU2ZmZp3Xi4qKavQLUFBQkCQpMzNTTz/9tD766CPt2rWr2WXD+/bt07x587R7924VFhaqoqJC2dnZ+te//qUXX3zR3E/v3r0lSenp6aqsrDT7LElHjx5VeXm5JOnQoUOSpF69enHRfx7O57hyTK1r165dKisrkyQNGjTIDO6OHz+uzMxMJSYmytvbW5JzBc+RI0fMAHD48OHmNnPnztXmzZuVl5eniooK5eXlaf369XrhhRfqHaq3Zs0affnll8rLy5NhGJKq5m7av3+/zp49q/LycjkcDjOIqRnOFBYWav78+Tp06JDKy8t15swZvf3229q/f3+d12lN3/DLKy4u1tatW5WZmSm73a6KigoVFBRox44deumll8zjlJ2drQULFig1NVWFhYVyOBzKy8vTDz/8UO/xx4Vlte8xzcG5CKAtUJkDXOIGDx6sRYsWyeFwmCXKNUuTIyMj1a1bN2VnZ2vZsmWSpJEjR+q3v/2t3N3dtWTJEq1Zs0Zr1qzRmDFj1LVrV6f9+/r6avbs2YqMjFRubq58fX31xRdfyOFwaOPGjbrxxht19uxZHTlyRJI0YsSIRvs7duxYcxK/kydP6uTJk1q5cqXc3Nw0evRo3XTTTQ0OyTEMQ4sWLVJFRYXc3d318MMPKy4uTkuXLtXq1at16tQprVixQtOnT1fv3r21fv16lZSU6Pjx4/L29lZ+fr5sNpscDoeOHj2qsLAw89eu6qAArdPa48oxtbbqgMZmsykxMVHBwcFav369pKqhVlOmTFFSUpI2bNigPXv2qLy8XO7u7uYFm6urq3kht3jxYtntdoWGhuqRRx5RZGSkDh06pFdffVU5OTlasWKFbrrpJqfXLy4u1h133KGhQ4cqLy9PHh4eGjBggPr3769OnTrJx8dHhYWFeuedd7R3715t27ZNM2bMkJ+fn1avXq3CwkJJ0q9+9StNnTpV+/fv11/+8pc677M1fcOF9cc//tHpeXR0tJ588kk9+OCD6tGjh/z9/VVZWamtW7fqvffeU1FRkbZu3apx48Y5hb/PPvusoqOjlZ+fr0OHDpmVHa+88opTdceFmNQWVaz2Paam+s7DuXPnysfHh3MRwHkjzAEucT4+Purfv792795tlihnZGTUKU3+4YcfzGqGTZs2adOmTXX2lZqaWudL0LRp0xQbGyup6gtV9T43b96szZs3a/r06dqxY4cMw5CLi4v5K3tDBg8erFmzZmnZsmXmFyepar6Lf/3rX/L19dWUKVPq3fbUqVPmr/kJCQm6/PLLzT5+++23qqio0L59+zR9+nTFx8eb26WlpZnVAYmJidq1a5fS0tKUl5dntuHC//y09rhyTK2ruLhYP/zwgySpe/fuCg4Olp+fnzw9PVVaWqrt27drypQpGjFihDZs2CC73a59+/bpiiuuMH8Bv/zyy+Xv76/S0lIzDMzJydGcOXPqvN6BAwfqLOvXr5/5K3v1+RAcHKzPPvtMKSkpys/PV0VFhdneMAydPn1afn5+ZlWXzWbTtGnT5O3traSkJH3zzTdmdZekVvcNvzwfHx/l5ORo2bJlOn36tEpLS53Wnzp1SlLV8JRqy5cvV3x8vKKiopSQkGCeR/jlWO17THPfE+cigPNFmAN0AEOGDNHu3bslVZUoHzt2zFxXXZp87ty5JvdT/St1TdHR0XWWXXPNNdq8ebPy8/O1d+9e81f2/v37N2vuiMTERCUmJurs2bNKTU3Vpk2blJKSIqlq2EZDYU7N/oWEhJiPPT095efnp/z8fPN9hoaGKjw8XFlZWU4X/hMmTNDu3buVlpams2fPSpK8vLwUExPTZL/RuNYcV46pde3YsUMOh0OSFBMToxMnTkiSYmNjdfDgQWVmZiojI0O9evVSWFiYsrOzlZycrKCgIPNuV9W/gBcXF5sXaQ0pKiqqs6z2v0+VlZX67//+b2VkZDS4n+pfwauDPx8fH6eLpprn4fn0DRdWfRPP1pzzpD7VQwK7d++uSZMmafXq1dq5c6d27twpSfLw8NCtt96qq6+++sJ1HPWy2veYag1NgMy5CKAtEOYAHcDAgQPl4eGhsrIybdmyRWfOnJFU9QWm+lcof39/s/39999f5xafhmGYJb011XfXh7i4OMXGxuro0aP66quvzEqMkSNHNtlXu93u9Av6sGHDdOWVV+qRRx5RUVFRoxdF1RPhSjIv2qWqL0XVX+Bqtundu7fThb+vr6969eqlTp06KS0tTbm5uZKYW6UttPa4ckytq+YcOGvXrtXatWvrtNm2bZu6deumYcOGadmyZdq9e7d5PH18fJSQkCCpahiEi4uLKisr1b9/f/3ud7+rs6/qOXFqqv3v05kzZ8wgp2/fvrrvvvsUEBCgxYsXa9WqVU5tg4KClJmZqeLiYpWWlsrT01OSzHOoWmv7hl9edcWXu7u7nnzyScXGxurkyZPmBNs1TZ8+XZMmTVJGRoZOnz6tdevW6fDhw/rwww81cuRIubq6/tLd79Cs9D2mOTgXAbQFvskCHYCXl5cGDBggSU6lyTW/6PTv39+8uP3iiy+Unp4uh8Oh3Nxcbdiwod6hA4255pprJFVNNmoYhnx9fZt116IFCxbonXfeUUpKioqLi1VeXq6dO3eak9xWf2mrT+fOnRUeHi5J2r17t/bv3y+73a7PPvvMHEpRPUxHkjksJzs7WydOnDDvstSzZ08VFBSYv/wxHOf8tfa4ckytqaCgwBx61JjqwKd62EJJSYkZ+iQlJcnd3V1S1cVW9THbv3+/1q1bJ7vdLrvdrpSUFL311lvasmVLk69XXXUjVV1Eubu7Kz09vd5te/XqJanqAnDp0qWy2+1KTk42h19Va6u+4cKrrhSz2Wzy8vJScXGxOc9ITcePH9eXX36p06dPKyoqSklJSerWrZukqiC5+v+hvr6+5jbVlWe4MKz0PaY5OBcBtAUqc4AOYsiQIU53gZCcvwSFhYVp8uTJWrp0qU6dOqW5c+ee1+tdeeWV+uijj8yKiyFDhpgXZo0pLy/Xxo0btXHjxjrrbDabJkyY0OC2NptNM2bM0Ouvv67y8vI6t+SMiIjQr3/9a/N5zQt6wzDUs2dPSVLPnj21adMm89d0LvzPX2uPK8fUmnbs2GGGbVOmTNENN9zgtP7111/Xzp07lZ2drcOHDysuLk49evTQkSNHzO1qTzJ6yy236KWXXpLdbtf777+v999/32l93759m+xXZGSkIiIidObMGe3Zs0cPPPCApKrzqPYdp6699lqtWbNGhYWFWrFihVasWCFJCgwMVH5+fpv3DRdeYmKijh07prKyMvOW0xEREXXaFRUV6fPPP9fnn39eZ12PHj3MC+eadzRasGCBJGno0KG67777LkT3OzyrfI9pDs5FAG2Byhygg0hISJCXl5f5vEePHnXudjBlyhQ98MADio+Pl5eXl9zd3RUeHq7Bgwfr3nvvbdHreXh4OJUjN7c0edq0aRozZoyio6Pl7+8vV1dX+fr6qn///po9e7b69evX6PYJCQl68sknlZCQIF9fX7m6uio0NFRjx47V008/7fTrVUREhIKDg83n1Rf+1b/IV7+P6okR0Xrnc1w5ptZTc4jVsGHD6qwfOnSo+Xjbtm2S5DSpaHh4uNMxk6qGUzz77LMaPny4goKC5OrqqoCAAPXs2VPTp093qtBqiJubm2bNmqXLLrtMnp6eCgkJ0c0331xvH/38/PTYY4+pV69ecnNzU3h4uO68807z3Kl53rVF33DhTZw4UePGjVNAQIC8vLw0ePDgei92IyIidPXVVysqKkre3t5yc3NTWFiYrr76aj3yyCNmu+rjGxISUu/wHbQtq3yPaQ7ORQBtwWYwkBvABVI9vKBr16564YUX2rs7ANAiKSkpiouLM+fLSUlJ0Z///Gc5HA4NHjxYDz74YDv3EMCFxPcYABczhlkBaHN///vflZKSYt4N5rrrrmvfDgFAKyxatEhnzpxRQECAysvLzeEWvr6+mjZtWjv3DsCFwvcYAFZAmAOgzeXk5CgvL09BQUEaO3ZsvUMYAOBiVz1HR25ursrLyxUeHq6+fftq0qRJdYZ3ALh08D0GgBUwzAoAAAAAAMBCmAAZAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALIQwBwAAAAAAwEIIcwAAAAAAACyEMAcAAAAAAMBCCHMAAAAAAAAshDAHAAAAAADAQghzAAAAAAAALOT/A64p5Y+kreQSAAAAAElFTkSuQmCC",
|
||
"text/plain": [
|
||
"<Figure size 1150x250 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"Displaying Fuel Source Chart...\n",
|
||
"Resting phase fuel mix: Fats 32.9%, Carbs 67.1%\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "iVBORw0KGgoAAAANSUhEUgAABHEAAADwCAYAAACHS/gvAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAANUxJREFUeJzt3Xl4FdX9x/HPTW4SspCQhCwQtrCHHUFkF1AWA8pWwSKluACiVkqFturPqtS6FK0ialVEpaKoiOxoUTbDEmQPAglrQCD7vq/390fKyCUBEpIQJrxfz8PzzJ05c+ZMWu9z8sl3zlhsNptNAAAAAAAAuKE51PQAAAAAAAAAcHWEOAAAAAAAACZAiAMAAAAAAGAChDgAAAAAAAAmQIgDAAAAAABgAoQ4AAAAAAAAJkCIAwAAAAAAYAKEOAAAAAAAACZAiAMAAAAAAGACtSrEadasmSwWiywWi55//vmaHg4AAAAAAECVqVCIs3nzZiMkudK/yZMnV9Nwq0dhYaHee+893X777fL19ZWTk5O8vb3VsmVLDR48WLNnz9aOHTtqepgAAAAAAOAmZq3pAdS0goICDRs2TBs3brTbn5qaqtTUVJ04cUI//PCDCgoK1KtXrxoaJQAAAAAAuNlVKsQZP368unfvXmp/hw4dKtPtdbVw4UK7AGfAgAHq16+f6tSpo5iYGO3atUu7du2qwRFeXXp6ujw9PWt6GAAAAAAAoBpVak2cYcOGadasWaX+DRs2TFLpx6+io6Ptzr/aGjYHDhzQgw8+qBYtWsjV1VUeHh7q2rWrXnrpJWVlZVVm6Ib169cb2wMGDNCmTZs0Z84cPf3005o/f77Cw8MVExOjiRMnlnn+smXLNHz4cAUGBsrZ2Vne3t7q3bu3Xn/9dWVnZ9u1jY6Otvt5bN682e74gAEDynwkrazzFi5cqFtuuUWurq7q37+/XT8//PCDxo8fr6ZNm6pOnTry8vJShw4d9OijjyoxMdGubXp6ul5++WXddttt8vLykrOzs5o0aaLJkyfr0KFD1/ATBQAAAAAA1eGGfZzq3//+t5544gkVFhba7d+/f7/279+vzz77TBs2bFBgYGClrnNx/zExMYqPj5e/v79dG39//1L7ioqKNGHCBH311Vd2+1NTU7Vjxw7t2LFDCxcu1IYNG9SgQYNKjfFSf/vb3xQWFlZqv81m09SpU/Xhhx/a7c/Ly9OhQ4d06NAhTZ06VfXr15ckHTt2TEOGDCkVrv3yyy9atGiRvvjiC3366ae69957q3T8AAAAAACg4ioV4nz33XelKjukksesGjdufM39bt++XY8//riKi4slST179tSwYcOUkZGhRYsWKTExUYcPH9akSZPsKmmuxS233KLVq1dLkqKiotSoUSN1797d+HfHHXcoKCio1HkvvfSSXYDTs2dPDRkyREeOHNHSpUslSUeOHNH9999far2dygoLC1PTpk01duxYubm5KT4+XpL02muv2QU4vr6+GjdunAICAnT06FGtXLnSOFZUVKTRo0cbAY6fn58mTJggHx8f/fe//9X27duVl5enSZMmqVu3bmrevHmV3gMAAAAAAKiYSoU4X375pb788stS+7t3716pEOe1114zApwBAwZow4YNcnAoefJr/Pjx6tGjhyTp+++/V0REhDp16nTN15o5c6Y++eQTnT59WlLJQscXKmkkyWKxKDQ0VG+//baaNWsmSSouLtabb75p9NGrVy+FhYXJ0dFRkvSXv/xF//znPyVJmzZt0v79+9WlS5drHuOlgoODtXfvXtWrV8/YV1xcrLlz5xqfg4KCtHfvXrsKoqSkJFmtJf+Tr1271nhcytHRUdu2bVOrVq0kSc8884y6du2qgwcPKjc3V2+//bb+9a9/Vdn4AQAAAABAxVVqTZzqsm3bNmN78+bNcnR0NNaDuRDgXLB9+/ZKXcvLy0s7d+7Uo48+aheKXGCz2bR27Vrdddddys3NlVRSsZOcnGy0mThxohHgSNLvf/97uz6q+vXkjz32WKmxRkVFKSEhwfj8xBNPlHoEzNfXV15eXpLsf8ZFRUVq3bq18TO2Wq06ePCgcbyyP2MAAAAAAFB5lQpxPv74Y9lstlL/BgwYUGZ7m81m9zkvL6/MdhcHJFdzcXBxrQICAvTOO+8oMTFRu3fv1rvvvqtx48bJxcXFaBMZGal169aVOb6AgIArfk5JSSnzuuX9eVyqbdu2pfZdOqbg4OAr9nG9f8YAAAAAAKByqnVh4wuPQF2Qk5NjbKenpysuLq7M83x8fIx1Xvr27auRI0de9hq9e/eugpGWcHR0VLdu3dStWzdNnz5dYWFhdm9+OnbsmDG+i116H5d+9vb2lnTln0dxcbFOnDhRrnG6u7uX2nfpmE6dOnXFPi5uX6dOHf3973+/bNsL1TsAAAAAAKDmVGuIc+kjP+Hh4WrXrp0k6eWXXy5ViXJB7969tWLFCklSbGyspk6dKk9PT7s2OTk5Wrp0aaVDnH/9618KDAzUmDFjVKdOHbtjHh4edp8v3E+bNm3k4+NjVLMsXrxY06ZNMx6pWrRoUan7ufj8C8LDwxUaGipJWrBgQaUqXtq0aSM/Pz+jj/nz5+vBBx803kQllVQEOTo6ytPT0+7nlpubq/bt2+uuu+4q1e/OnTvtKpIAAAAAAEDNqNYQp23btqpbt64yMjIkSY8++qjWrFmj2NjYK64T8+STT2rlypWy2Ww6fvy4OnTooDFjxiggIEBpaWk6ePCgtmzZoqysLE2aNKlSY4yIiNCTTz6punXrqn///urYsaM8PT0VExNjt2izo6OjBg8eLKmkombmzJl69tlnJZWsedO3b18NGTJEkZGRdm+tGjhwoDp37ixJ8vT0VOvWrXX06FFJ0j/+8Q/t27dPOTk5lX6DlYODg2bPnq0///nPkqSzZ88qJCTEeDvVqVOntGLFCm3atEldunTR8OHDFRISoiNHjkiSRo0apTFjxqhdu3ZGVdCPP/6o06dP6+OPP67ShZkBAAAAAEDFVWuI4+zsrBkzZujFF1+UVLLmy/LlyyWVvMHqzJkzxmNTF+vbt6/efvttzZgxQ4WFhfrll180b9686hyqMjIytHbtWq1du7bM43PmzLF7zfZTTz2liIgI43Xi4eHhCg8PtzsnJCREixcvttv35z//WQ8//LCkkkeo1qxZI0lq3ry5nJ2dFRkZec33MGvWLB09etR4zXhiYqLefffdMttarVatWLFCQ4cOVXR0tPLz8/XFF19c87UBAAAAAED1qva3U82ZM0cvvfSSgoOD5eTkpKZNm+qpp57Sli1b5OrqetnzHn30Ue3bt09Tp05V69at5ebmJqvVqoCAAN1+++169tlndeDAgUqP79VXX9XixYv14IMPqlu3bmrUqJFcXFzk4uKiZs2aafz48dq4caOefvppu/McHR311VdfaenSpQoNDZW/v7+sVqu8vLx02223ae7cudq1a5caNmxod95DDz2kBQsWKCQkRM7OzgoMDNT06dP1008/lVoQuaIsFosWLFig9evX695771Xjxo3l7OwsDw8PtWnTRlOnTlWjRo2M9q1bt1ZERIT++c9/qnfv3vL29pajo6Pq1q2rTp066eGHH9by5cs1YcKESo0LAAAAAABUnsV2uYVpAAAAAAAAcMOo9kocAAAAAAAAVB4hDgAAAAAAgAkQ4gAAAAAAAJgAIQ4AAAAAAIAJEOIAAAAAAACYACEOAAAAAACACRDiAAAAAAAAmAAhDgAAAAAAgAkQ4gAAAAAAAJgAIQ4AAAAAAIAJEOIAAAAAAACYACEOAAAAAACACRDiAAAAAAAAmAAhDgAAAAAAgAkQ4gAAAAAAAJgAIQ4AAAAAAIAJEOIAAAAAAACYACEOAAAAAACACRDiAAAAAAAAmAAhDgAAAAAAgAkQ4gAAAAAAAJgAIQ4AAAAAAIAJEOIAAAAAAACYACEOAAAAAACACRDiAAAAAAAAmAAhDgAAAAAAgAkQ4gAAAAAAAJgAIQ4AAAAAAIAJEOIAAAAAAACYACEOAAAAAACACRDiAAAAAAAAmAAhDgAAAAAAgAkQ4gAAAAAAAJgAIQ4AAAAAAIAJEOIAAAAAAACYACEOAAAAAACACRDiAAAAAAAAmAAhDgAAAAAAgAlYa3oAAAAAAFDTVqxYoZUrV0qSHnroIfXt27dGxrF161YtXLhQkjRy5EiNGjWqRsYB4MZEiAMAAADghpCWlqb169fr4MGDSkhIUFFRkerVq6c2bdpo8ODBatKkyTX3nZ2drfXr10uS6tevX2MhDQBUBiEOAAAAgBoXFRWl+fPnKysry25/QkKCEhIStG3bNv32t7/V4MGDr6n/7Oxso9KmTZs2pUKcfv36qV27dpKkwMDAa7oGAFQ3QhwAAAAANSo5OdkuwGndurUGDx4sFxcX7dq1S2FhYbLZbFqyZIn8/f3VuXPnKh+Dr6+vfH19q7xfAKhKhDgAAAAAatS3335rBDiBgYGaNWuWnJycJEkdO3aUzWbT1q1bZbPZ9PXXX6tz586l1o7x9/fX2rVrFR8fL39/f40YMUK9evWSJH344Yfatm2bcb2oqCg98MADkkqqcv76179edk2cWbNmKSkpSZI0d+5cLV68WEeOHFHdunUVGhqqQYMGKTIyUl9++aXOnj0rX19fjRkzRj169DCud/bsWa1du1ZnzpxRWlqacnNz5ebmpuDgYIWGhqpNmzbV+eMFUIsQ4gAAAACoUXv27DG277zzTiPAuWDo0KHaunWrpJJAJD4+3u74zp07FRsba3w+f/68PvjgA1ksFvXs2bPKxjl37lzj2klJSfr000+VlJSk9evXq7CwUJIUFxen9957T40bN1aDBg0kSefOnVN4eLhdXxkZGYqIiNDBgwc1e/ZshYSEVNk4AdRehDgAAAAAakxOTo5SUlKMz2UtXhwUFCRHR0cVFRVJKglpLhYbG6vBgwerffv22rlzp3bs2CFJ+uKLL9S9e3eNGDFCnTt31rvvvmtc4/7775ckubq6lnusDg4O+sMf/qDIyEh9//33kqR169apVatWCg0N1datW7Vnzx7ZbDb9+OOPGj9+vKSS6qL77rtPfn5+cnV1lc1mU1xcnD7//HMVFhZq7dq1hDgAyoUQBwAAAECNyc3Ntftct27dUm0sFos8PDyUlpYmqST4uVirVq00YcIESSWPXx09elRJSUlKS0vTyZMn1bp1a1mtv/7q4+rqqtatW1d4rBMnTlT79u3VqlUrI8SRpIcfflj+/v7y8vIyqoourhZq3LixoqKitGbNGsXExCgvL082m804Hh0dXeGxALg5OdT0AAAAAADcvOrUqWP3OSMjo1Qbm82mzMxM4/Ol1TPNmzc3th0cHNS0aVPj86WPXlVGcHCwJMnd3d3Y5+7uLn9/f0n2AVR2draxvWTJEi1ZskSnTp1Sbm6uXYBzaVsAuBIqcQAAAADUGFdXV3l7exuPVJ05c0atWrWya3P+/HnjUSpJatiwoY4ePXrZPi0WS7WM1c3NTVJJUHTBpSHUBReCmsLCQm3ZskWS5OjoqNGjR6tFixZycHDQ/PnzlZmZWSrUAYDLoRIHAAAAQI265ZZbjO2NGzcaiwRf8N///tfYbtSokVH5csHJkyeN7eLiYrvHky60vTjYuZ6hSWZmpgoKCiSVPFY1fPhwtW3bVn5+fsYbuQCgvKjEAQAAAFCj7rrrLu3YsUPZ2dk6f/68XnvtNd15551ycXHR7t27FRYWZrQdO3ZsqfOPHTumJUuWGAsbX3gluKenp/Go1YUqGqnkDVd79+6Vh4eHfH195evrW2335unpKScnJxUUFOjs2bPavHmzPD09tXr1aipwAFQYIQ4AAACAGuXr66vHH39cb7/9trKzsxUVFaWoqCi7NhaLRePHj1eXLl1Knd+oUSOtX79e69evt9s/fvx4Y0FjV1dXNWvWTNHR0crOztb8+fMlSSNHjtSoUaOq5b6kkkev+vXrZ1QYLVq0SJIUEBAgT09PpaenV9u1AdQ+PE4FAAAAoMaFhITopZdeUmhoqIKCguTi4iKr1ar69eurT58+eu655zR06NAyz+3WrZumT5+uoKAgWa1WBQYGasqUKerdu7ddu2nTpqljx452CxNfD/fdd5+GDBmievXqqU6dOurSpYtmz54tJyen6zoOAOZnsVHDBwAAAMBktm7dqoULF0qq/moaALhRUIkDAAAAAABgAoQ4AAAAAAAAJkCIAwAAAAAAYAKsiQMAAAAAAGACVOIAAAAAAACYACEOAAAAAACACRDiAAAAAAAAmAAhDgAAAAAAgAlYa3oAAAAAAFCTiouLlZmZabfPw8NDDg78zRvAjYUQBwAAAMBNLTMzUzNmzLDbN2/ePHl6etbQiACgbETLAAAAAAAAJkCIAwAAAAAAYAKEOAAAAAAAACZAiAMAAAAAAGAChDgAAAAAAAAmQIgDAAAAAABgAoQ4AAAAAAAAJkCIAwAAAAAAYALWmh4AAKB8kpKSlJGRUWX9eXp6ysfHp8r6AwAAAFC9CHEAwAQKCgo0Z84cpaenV1mfXl5emjt3rpycnKqsTwAAAADVh8epAMAErFarfH19ZbFYqqQ/i8UiHx8fWa1k+QAAAIBZEOIAgAlYLBaNHj1aNputSvqz2WwaPXp0lYVCAAAAAKofIQ4AmESHDh0UHBxc6eDFYrEoODhYHTp0qKKRAQAAALgeCHEAwCSqqhqHKhwAAADAnAhxAMBEKluNQxUOAAAAYF6EOABgIpWtxqEKBwAAADAvQhwAMJlrrcahCgcAAAAwN0IcADCZa63GoQoHAAAAMDdCHAAwoYpW41CFAwAAAJgfIQ4AmFBFq3GowgEAAADMjxAHAEyqvNU4VOEAAAAAtQMhDgCYVHmrcajCAQAAAGoHQhwAMLGrVeNQhQMAAADUHoQ4AGBiV6vGoQoHAAAAqD0IcQDA5C5XjUMVDgAAAFC7EOIAgMldrhqHKhwAAACgdiHEAYBa4NJqHKpwAAAAgNqHEAcAaoFLq3GowgEAAABqH0IcAKglLlTjSKIKBwAAAKiFrBVpbMvYJ9nyq2ssAIBKsWjMmHv02edfKeSesQrPpwoHAIDyyCnjV5zd+ZJr3vUfC4DaoZ2T5FUNZTMW2+XeS3sJW1GOlLy26kcAAKg6nr101jFI28jbAQAoN1txsQqyMu32Obl7yOLAgwsArk0XJ6mtU9X3W/5KnMLUqr86AKBqFaYq1RJU06MAAMBULA4Ocq7rWdPDAFCLpBRXT7/lj5aLc6tnBACAqlOcq5xy1VcCAAAAqC651TQnL3+IYyusnhEAAKqOrVB8WwMAAAA1q7rm5OV/nIoQBwBufLZCFVKJAwC11mv9u0uSPAMbaOpXq2t4NACAy6muOTkhDkzpg8VhWvDZtsse93B30aavZ1aoz9XfRygmLk2S9NtRt6quR51KjRGoEbZCFdT0GADgJpGfk6OI1d/o+I+blRh9UgW5OXL3qa/6wc3V9o4hajNwsBydqmFVSwDADa+65uSEOMD/rPn+oPYe/EWSNGJwR0IcmBOVOABwXSRGn9Tyv85U2vlzdvvTY88rPfa8Tu7YqvrBLeTfqk0NjRAAUJOoxAEuo3f35npgfC+7fY6OvA4SNynWxAGAapeTnqZls59QRlysJMmjvp9uve93qt+ipfKzs3V2/x79/G3VPuqUn5MjZ1fXKu0TAFB9boA1cSjQx43Ju56bunRoXGp/Tm6+5i3YpMPHYhSXkK70zFy5ODupeRNfjRzWWSOHdpYk7Yk4rUf+ssTu3JGT3zO2V37yiBoG1NPGrZH6fPluHY9OUF5+gTzruqpxA291bhekxx8cIIvFUr03CpSHrYDHqQCgmu3+YrER4Lh4eOj+9xeprp+/cbxVvwHqMfEBOTg6KiMhXtsW/ltxUZHKTIxXXmamnN3c5deytW75zX1q1W+Acd6Zfbv11YxHJEnth41Qiz79tWPRh0o+fUo97p+sPg9OsxtHWsx5bXzrNZ3Zu1tWZye1GThE/ac/YRf2HN28QXuWfq6Ek8dVmJenOp5e8g5qpIYdOqv/I39g/gIA1aSa3jBegRCn2oYAVI+s7HwtW7fPbl9hYZ4ORp7Xwcjzik/M0JT7+5arrz0RZ/TUyytVXPxrTVxySpaSU7J04PBZTZ98u6yOTIJwA7AVqZjHqQCgWkVuXG9sd7t3gl2Ac4G7t48k6fyhg/p5nX1VTm5Gun7Zt1u/7Nutu55+Xu2HjSh1/tkD+3Tov2slW9lf6vnZ2fri8SnKSIiTJBXkSPtXLFVqzDn9Zu5bkqRf9u/R6uefkq3413l8dnKSspOTdO7gAfWb8qgs1gr8OgAAqHEVqMThtwLcmNb+8LPW/vCz3b7hd3bQrEcGa9rv+qlZY1/VdXeR1eqgpJRsvf/pjzpzLkWLl/2kyeN6qU2LAC2Ye7/m/vt7HT0ZL0l65elR8vV2lyTV9/bQV6v2GgHOo5NvV4c2DZSSlqMTpxO0adtREd/gRsK3NQBUn/zsbLt1cBp16nrF9u4+vuo37XF5N2oiFw8PWRwclBEXq83vzlNOaorC//NRmSFOWsw5BbZtp1snTJKjo1VObm52x3PT0+TVpqHu+ONspcfH6cf356swN1fRO7frxLYf1aJPf53YFmYEOP2mPqYGIR2UnZqixFMndOzHTRJVOABgOhWI3vm1AObi4e6iNi0C9OXK3Yo6EaeMzFwVXVSikJ2Tr+izSWoV7K8uHRrLw93FOBbSOlANA+oZn63WX9fYadLQW62aB6iep6ukEE2f1P963A5QTja+rQGgGuVlZdp9dq/vd8X2Xg0ayt2nvvYuXaKEk8dLzr/oj6MpZ88oLytTLu4educ5ubpp7Gvz5erpddm+Rzz3krwblTxSnp2cpPBPP5IkHQvbrBZ9+svhoiqbeo0ay69lK7l61ZMk9X14+lXvFQBw4yHEgemVtbCxj7e7Nm6L0l9eXH7FczMyc8t1jWED22vJ8l3KLyjSX19aUXKNem7q1K6RfjPiFt3Wtdm1DB2oejZCHACoTpeGLVmJCfJt2uyy7Xd/9Zk2v/3GFfvMyywd4gR17HzFAKeOp5cR4EhSYEh7YzstpqRSKGTwMO1Z+rmK8vO1+m9/lSS5efsoqENndRn9GzXtftsVxwUAuPEQ4sD0Lrew8cvzvzO2RwzuqGED2snF2aoPP9+mnfuiJUm2cj4m2LKZn/4zf7KWf7tfhyJjFH02Scmp2dq8/ah+DD+mD+ber87tGlXJ/QCVQ4gDANXJ2c1NXg2DjEeqzv18QE263XrZ9vuWfWVs3/rbSQru0UsOTk764V+vKPHkcUmyW7PmArf/ralTXmUtUOzXvKV+t+BTRaxarpgjPyv5TLSyU5J1LGyTjm/bovvmL1BQx84Vug4AoGaxJg5qrfjEX8udZ08fLDdXZxUX2xSflFlmeweHXyc/l86lbDabWjT106xHBhv7Nm6N1F/+sULFxTZt2XGMEAc3CEIcAKhubQcN0c7FH0uSdn/5mToOHymPSx6rykpJloOjozITS9bbc/Xy0u3Tn5BU8rrwzMSEK17jam+Nyk1PU8rZX4xqnJjDv64P6NUgSFLJ/KV+cAsNmjHLOHZ08wat+ttfZCsu1vGtmwlxAMBkWI4etVYDf0+dOZcsSXr/0zD17BasdRsO6dSZxDLb1/WoY2yv+G6/+tzaQi7OVrVr3UD/WbpTew6eUd9bWyjA31OuLk7aseeU0T6/oLB6bwYAANwwut83UYe//1YZcbHKy8zQZ9Mmq/t9E+XXvKXys7P0y/49+vnb1Ro/7315BjRQytkzyklL087Fn8ivRUvt/foL5aanVXoca+c8o56THlJGQrz2fL3E2N+y7+2SpJ8+X6Rf9u9V85595BkQKCdXV0XvCjfaFeUXVHoMAIDri8epUGuNvquL8djU58t36fPlu+TibFVIq0AdORZbqn33Tk21adtRSdKir8K16KtwNfD31KpFj6qwqEg7dp/Ujt0nS53n4GDR4H4h1XovQPlRiQMA1c3V00tj576l5X+dqbTz55SREKdN818vs22nu0dry7/nSZLCPni75HyvevJp0lTJZ05f8xhcPDyUFhujFU8/abe/affb1KJPyUsXigsLFb1zu6J3bi91vsXBQW0G3XnN1wcA1AwqcVBr3dGvrZ76wzB99s1OxSVkqEUzPz3x0ECt/j6izBBnTGgXxSVmaP2Ww4pPzDBeKS5JfW5tofjEDB04fE4JiRnKys6Th7uLQlo10MTf3KbO7XmUCgCAm0n9Zs31+4+/UMTqb3Tsx01Kij6lgpxsuXn7yLdZc4XcOVS+zZqrfvOWKirIV8SaFcpOTVGDkPYa9MRsbZj3z0qGOHX1m9fma+P8f+lcxD45OjmrzcA7dfv0GcajWM179lVmQrzOHTygzMQE5WVnycXdQ4FtQnTrb3+noI5dquinAQC4Xiy2cq7sakvZKBUmV/d4AACV9KX7b2p6CAAAAMBN7z63qu/Toeq7BAAAAAAAQFUjxAEAAAAAADABQhwAAAAAAAATIMQBAAAAAAAwAUIcAAAAAAAAEyDEAQAAAAAAMAFCHAAAAAAAABOw1vQAgIo6fipei5buVOTxWCUmZyont0Ae7i5qFeyvkUM7adjA9kbbFd8d0IawSJ08k6i09BzZbDbV9/FQ146NNXlcLzVr7Gu0jYlL0xsLNmjvwV8kSd06NtHMaXco0M/TaFNYVKwJj36k1LRsfbNwqjzc61y/GwcAAKaQFhujnxZ/rFM/hSsrKUFOrm6q1zBIrfoP1G0TH5Ak/fztan338gtX7KdRl1t031sfSJISThzX5nfeUGzkIVmdXRTcs49uf3SGXD29jPZ5mZn6cMJoudXz1u8/+lwOVqb6AFDb8M0O0zl6Kl7fbTpkty8tPUe7D5zW7gOnFROfrgfG95Ikrd9yWLv2n7Zrez4uTefj0rRp21H9563JatrIR8XFNs2as0zHTsXrhVl3S5Kee221zselatG8yXJwsEiSlq7eo1NnEvXMjLsIcAAAQCnnDu7Xsj/PUH5WlrGvqCBNselpys1IN0Kc8nD8XwiTn52lZbP/oNzMDN3zwitKjD6pH//9lnLT0zTqpdeN9ts/fl85qSka8bcXCXAAoJbi2x2m4+XhqlHDOqtrx8aq7+2h9Mxcfb58lw4eOSdJ+nLlbiPEadXcX7d0bKLmTevLw81FJ88k6r3/hCkrO0/ZOfla/X2EHn9ggM6cT9bRk/FqFeynuwaVVPL8Z2m4Io/H6WxMipoE+Sg1LVsLPtuqti0DdM+QTjV1+wAA4AaVm5GhVX/7q/KzsmRxdFSnEaPUrEcvWV1clHrurFLO/PqHpeCefXTf2x+W6uPHf7+l84ciJEkt+w6QJJ37OUKZiQlq0ae/mvfqq+CefbTz0490YnuYCvPyZHVxUVL0Ke375iu17DdATbvfdl3uFwBw/RHiwHT69GihPj1a2O1r3NBbEx//WJKUnZNv7J855Q67dj26NtO5mFR9sXK3XduCgiJJktXqaLR1cirZzs8vlCS9u+hHZWTmadYjg43KHAAAgAsi1ixXVlKiJKn35Cnq9fuHL9vW3dtH7t4+dvuykhIVG3VYkuTs5q72w4ZLkoryS+Yrjk5OkiSLxSIHR6tsxcUqKiyQ1cVFm+a/LoujowY89seqvi0AwA2EEAemVlxsU1JKppav22/s69apSZlt8/MLdeJ0orbvPmHs6/6/ts0a+crP10PHTsUr6kScLBbp2Kl4+devq6aNfBV1Ik4r/3tAQwe0U+f2jar1ngAAgDmd3BZmbNtsNn3y+/FKPXdWrt7eCrlzmHpPniKri8tlz49Ys0LFhSV/PGo3JFTObu6SpAbtOsjJ1VW/7Nuj9LhYJZ48rpy0VAWGtJeLu4eOb92i6F3huu13D6heQ+YpAFCbWWw2m608DW0pG6XC5OoeD1BuD/zxP/o56rzx2WKR+tzaQs/ODJVPPXdjf/QvSbp36gK7c+t6uGjSvT01eVwvY9+Bw2c1519rdeZciiSpSZC3nn9yhDqGBGnq7MWKPB6nrxdMlX/9usrNLVBeQaG86rpW810CFfel+29qeggAcFN65+47lJOWdtnjzW7tqbGvzZfFUrqit7ioSAvG3aOMhDhJ0uRFX6p+8K+Vx8e3btH3r79sVPoEtG2n4c/+XZ4BDfTJ78epMD9fDy5eJmdXV+VlZUqSXNw9qvL2AAAVdJ9b1fdZgUocHh/Bjc3BYpHV0UHFxVfPJR0dHHRpfNm5XSMt+3CaEpNLJj71fUomPus3H9a+n89q+qT+cnZy1JMvfK2tP51QcbFNLZr56YVZI9SmRUCV3w9wbSyySCpXOg8AqFK5mZnGdp26nhr4xJOSpE1vva7cjHRF7wrXia1b1LLfgFLnHt+6xQhwGnftZhfgSFLLvrerRZ/+yoiPk9Wljtzq1ZMk7Vz8iVLPnVXo//1d2SnJWjb7OZ07eECSFNShk+56Zo7qNQyqhrsFANSE8oc4ZfzFAKhJT88YpvSMXMUlpmvZ2n2KOHxOm3ccU1xihv7z1mSjXaC/pxbMvV+5eYU6ejJOi74KV2p6jt79ZIvcXZ017p5udv1eCG8kKTe3QG99tFkNA710/9ge+vsb6/Rj+HENHdBOwU189f6nYfrzi99o6ftT5OzM04m4ERDiAEBNcXRyUmFRyTp7nUeNVfuhJWvaJJ+O1s7FJWv3nd7zU5khzv4VXxvbXUbfW2b/FotFngGBxufMxESFf/qRGnbopJDBw7TksYd0/ucI3fKb30qS9n69ROtefFYT3v2oSu4PAFDzqMSBabUK9je2B/VuozvHz1NefqGOHIvV6bPJatqoZLHAOi5O6tKhsSSpZ7dg1fNy09/fWCdJ+m7z4VIhzsU++WqH4hLS9c//Gy2ro4M2bI2Uk9VRz8wYJtc6ztq++6QiDp/ToaMx6vq/awA1y8K3NQDUEE//QCWfiS7ZDmjw6/6Lgpe8i149fkHyL6d1Zu8uSZJHfT+1+t9bqa7mx/ffUmFergbNmK2M+Did/zlCdf0CNOh/FUBHt2zQ+Z8jlB4XazcGAIB5OdT0AICKys0rKPvARb+5ZmblKj+/UGUt+XRxUVlmZu5lr3M+LlWLl/2kW7s01cA+bZSWkaPCwmLV83KVax1nSVIDfy9JUlJK6QkZAAC4uQR17GxsZ8TFGtvp8b9ue/qXfgR7//KvdeE57073jJGD9ep/Zz1/6KAOr/9WHe66W4FtQoy1cuoG/Nr/heAmKzmpgncCALhRUYkD05n0xCJ1bNtQnds3UqCfp1LSsvX1mr3Kyyt5m4OLi1XNGvvqYOQ5vfjmtwq9o4NaNK0vdzcXHY9O0MdfbDf6atPy8n+VmrdgkwqLivXkI3dKkry93FTHxUkZmXkqLCqW1dFBqWnZkqQG/p7VeMdABVioxAGAmtJxxCgdXLdKstm0f+Uy+TRtJkk6sPIbo02r2wfZnVOQm6tD362WJDlYrep89+irXsdms2njvLlycXdX36mPSZI8GzSUJOWkphrtLmx7Bja4tAsAgEkR4sB0cnPztWp9hFatjyjz+IyHB8ndreT1nWdjUvXB4q1ltvP1dte03/Ur89juA6e1cVuUxt/TTS2a+kkqeQ591LDO+mLlbn38xXa1bu6vvQd/UduWAQppxeQINwpCHACoKQ3bd9St903UriWfKjc9Tete/Jvd8R4Tfq+A1m3t9h35/lvl/W9B5Fb9B8rdt/5Vr/Pzt6sVG3lYAx77o9y9Sx4fd/f2Ucu+t+v41i2KWLNCFkkpZ8+oZb8BRhsAgPmxsDFMZ+LY2xS287hOnklUalq2bDbJz9dDHUOCNHZ4V2NtmiZBPho/spsOHDqr2Ph0ZWTmqo6Lkxo19Fav7s01YdSt8q5X+p1vRUXFev29H+Tl6aqpE+1DnscfHCAHB4tWfHtAuXkF6nNrc82aPlgODvz3gRsFIQ4A1KTbp89Q/eAW2vfNV0qMPilJ8mveUl3HjFe7IXeVan/xgsZdR4+7av/52VkK++Ad+TRpqq5j77M7Nuyp57Tp7Te0dcG7kqT2w0Zo4B/+VJnbAQDcYCy2shYNKYMtPVzKO1vd4wEAVIaDm1a7hSqb11MBAAAANeq+0jUDlVb+hY0tTlV/dQBA1bI4iW9rAAAAoGY5VlO/FQhxqmsIAIAqY3GUleepAAAAgBpVXX9YpRIHAGoTi1NFVqwHAAAAUA2q6w+rFQhx+LUAAG54FqucqMQBAAAAalR1JSiEOABQm1isVOIAAAAANay6/rDK41QAUJs4OFGJAwAAANSw6kpQyv0H2xVrt0m5p67arn+PxvKp51qpQQGoPQoKi7R244lytx8+qIWcrCykfs0cPVSXEAe1VHFBgU6uX1vu9s2HDJeDE3+EAlA2vlMAXKuclCSd2x52xTYpDlL/saOq/NrlDnFWrVlfrnYd2vgR4gAwFBYWa9UPx8rdfmj/YEKcyrDWk3f5aywBUykuLNSJdSvL3b7ZoKH8wgXgsvhOAXCt8lJSrvr9cULS9JoMccrNo7tUr1mVdwvApHJyJZUvBJYkeQ2QXOtU12hqPYuTt/wkDa0j2Wp6MEAVy7VJGyrQflAdqQ5fJwAug+8UANcq2lnaWUPXrvIQx2KtK4uTd1V3C8CkLIU5FWvvVE8WJ6r5KotqHNRGORX8/7W3g+TKfwsALoPvFADXKrkGvwv4GgIAAAAAADABQhwAAAAAAAATIMQBAAAAAAAwAUIcAAAAAAAAEyDEAQAAAAAAMAFCHAAAAAAAABMgxAEAAAAAADABQhwAAAAAAAATIMQBAAAAAAAwAUIcAAAAAAAAEyDEAQAAAAAAMAFCHAAAAAAAABMgxAEAAAAAADABQhwAAAAAAAATIMQBAAAAAAAwAUIcAAAAAAAAEyDEAQAAAAAAMAFreRuOHDmyXO28vb2veTAAah+r1Vru748L7QGgLHyfAKhKfKcAuFbe3t4V+v6oShabzWarkSsDAAAAAACg3HicCgAAAAAAwAQIcQAAAAAAAEyAEAcAAAAAAMAECHEAAAAAAABMgBAHAAAAAADABAhxAAAAAAAATIAQBwAAAAAAwAQIcQAAAAAAAEzAei0n5efna/Hixfr222917tw5ubq6qkuXLpoyZYratm1b1WMEYCKRkZH6/vvvtW/fPsXExCglJUUeHh7q2LGjJk2apK5duxptn3/+ea1Zs+ayfa1atUoNGza8HsMGcAPavXu3HnnkkcsenzJliqZNm2Z8PnLkiBYsWKADBw4oJydHQUFBCg0N1cSJE+Xk5HQ9hgzgBnX33XcrJibmim3ee+89de/enfkJcJNKS0vTp59+qoiICB06dEh5eXmSpBEjRuj5558v1b4i846qzFAqHOIUFhbqj3/8o3766Se7AW3ZskU7duzQm2++qR49elS0WwC1xDfffKNvvvnGbl9qaqrCwsK0bds2vfLKKxo0aFANjQ5AbRUeHq6ZM2eqoKDA2Hfq1Cm988472rNnj+bNmydHR8caHCGAG53Vek1/3wZQS8TGxuqTTz4pV9uKzDuqOkOp8DfV119/bVy8RYsWmjZtmqKiorRw4ULl5+frhRde0PLly+Xs7FzRrgHUEr6+vho5cqS6dOmi9PR0LViwQKdPn1ZxcbHeeOONUiGOr6+vXn311VL91K9f/3oNGcANbtasWaX+UhUYGChJys3N1QsvvGBMpB566CG1adNG77//vk6cOKHw8HAtW7ZM48aNu+7jBnBjePXVV5Wfn2+3Lzo6Wi+++KKkkjlHhw4d7I4zPwFuLk5OTrrlllvUqVMnJScna9WqVWW2q+i8o6ozlAqHOMuWLTO2/+///k8dO3bUoEGDdPjwYe3YsUNxcXEKCwvTHXfcUdGuAdQCoaGh+tOf/qQ6deoY+5o3b64JEyZIkmJiYpScnCwfHx/juLOzs7p06XK9hwrARFq2bHnZ74mwsDAlJCRIknr16qXp06dLkvz8/PTAAw9IEiEOcJNr165dqX3r1683tkePHl2qEof5CXBzad68uT744ANJJcHL5UKcis47qjpDqdDCxmlpaTp16pSkknLDi78MO3XqZGzv37+/It0CqEW6dOliF+BIUpMmTew+X3o8MTFRQ4cOVc+ePTVixAi9/PLLSkxMrPaxAjCPZ599Vr169dLAgQP12GOPaefOncaxi+cdF89HQkJCjF/KTpw4ofT09Os2XgA3tpycHK1du1aS5OjoqDFjxpRqw/wEQFkqMu+ojgylQiHOxYuBeXl52T1b7u3tbWyfO3euIt0CqOU2bNhgbHft2lVubm52xwsKCpSUlKTCwkLFxsZq2bJlmjRpkpFwA0BCQoIKCgqUkZGhnTt36vHHH9fq1aslSefPnzfaXVzlZ7Va5eXlZXy+uB2Am9u6deuUlZUlSRo4cKD8/PxKtWF+AqAsFZl3VEeGUqHHqXJycoztS1dbvvhzbm5uRboFUIsdOXJEc+fOlVRSlvynP/3JOFa3bl2NGjVK3bp1k7e3t6KiovTRRx8pKytL8fHxeu+99/Tss8/W1NAB1DBHR0d1795dAwcOVOPGjZWRkaHPPvtMhw8fls1m0+uvv64777zTbt5x6fzk4scjmJ8AuODrr782tu+99167Y8xPAFxJReYdNpvtsm2vNUOpUIjj6upqbF+8CvOlny99VALAzWn//v2aMWOGsrKy5OjoqH/84x8KCQkxjj/55JN27Xv27Clvb2/NmTNHkrR9+/brOl4AN5auXbvqvffes9vXu3dv3X333crMzFRmZqYOHDhgN++4dOHSwsJCY5v5CQCpZH5y7NgxSSVrYHTr1s3uOPMTAFdyrfOOqspQKvQ4VYMGDYzt1NRUuwEmJSUZ20FBQRXpFkAtFB4erscff1xZWVlydnbWq6++qoEDB171vPbt2xvbKSkp1TlEACZUt25du3W2UlNT1bBhQ+NzcnKysV1YWKjU1FTj88XtANy8li5damyXd8Fz5icALqjIvKM6MpQKhTheXl4KDg6WJBUVFenw4cPGsYMHDxrbrOIO3Nw2bdqkmTNnKjc3V66urnrzzTc1YMAAuzaZmZk6c+ZMqXN//vlnY9vX17e6hwrgBnbkyJFS+zIyMnT69Gnjs4+Pj928IyIiwtg+fPiwioqKJJW80tPT07P6BgvAFJKTk7Vx40ZJkru7u0JDQ+2OMz8BcDUVmXdUR4ZS4VeMjx07Vq+99pok6cUXX9QjjzyiyMhIhYeHS5ICAgLUr1+/inYLoJb44Ycf9Mwzz6ioqEgWi0VTpkyRs7Oz3Yrr7dq1U3p6usaNG6eBAweqf//+8vHxUWRkpD766COjXf/+/WvgDgDcKN544w1lZmYqNDRUrVq1Umpqqj777DNjMdJ69eoZb3bw8/NTQkKCwsPD9c477ygkJMTuUayxY8fWyD0AuLEsX77ceIRh+PDhpV62wPwEuHnl5uZq69atkqSoqChjf0xMjH744QdJJVV5/fr1q9C8o6ozFIvt4pV2yqGwsFBPPPGEfvrpp1LHnJ2d9eabb6pHjx4V6RJALfL8889rzZo1V2yzatUqSdI999xz2TZNmzbVwoULVa9evaocHgATmTp1qvbu3VvmMavVqldeecWo8gsPD9fMmTNLPW8ulaxnMW/ePLs3QgC4+RQVFWnkyJGKjY2VVPJY1YW/kF9w/vx55ifATepq//1L0nPPPae77767QvOOqs5QKlyJY7Va9eabb2rx4sVat26dzp8/L1dXV3Xu3FlTp05V27ZtK9olgJuQv7+/5syZo02bNunYsWNKTEyUzWZTo0aNNHDgQP3ud7+Tu7t7TQ8TQA2aMWOGvvvuO+3evVvx8fHKzMyUj4+PunbtqkmTJtnNOXr27KmPPvpIH3zwgQ4cOKDc3FwFBQUpNDRUEydOJMABoLCwMCPAufXWW0sFOBLzEwDlU5F5R1VnKBWuxAEAAAAAAMD1V6GFjQEAAAAAAFAzCHEAAAAAAABMgBAHAAAAAADABAhxAAAAAAAATIAQBwAAAAAAwAQIcQAAAAAAAEyAEAcAAAAAAMAECHEAAAAAAABMgBAHAAAAAADABAhxAAAAAAAATIAQBwAAAAAAwAQIcQAAAAAAAEyAEAcAAAAAAMAECHEAAAAAAABMgBAHAAAAAADABAhxAAAAAAAATIAQBwAAAAAAwAQIcQAAAAAAAEyAEAcAAAAAAMAECHEAAAAAAABMgBAHAAAAAADABAhxAAAAAAAATIAQBwAAAAAAwAQIcQAAAAAAAEyAEAcAAAAAAMAECHEAAAAAAABMgBAHAAAAAADABAhxAAAAAAAATIAQBwAAAAAAwAQIcQAAAAAAAEzg/wG2C6qqXpDwAQAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 1150x250 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import matplotlib.patches as patches\n",
|
||
"\n",
|
||
"# Enable inline display for matplotlib\n",
|
||
"%matplotlib inline\n",
|
||
"\n",
|
||
"def mifflin_st_jeor(weight_kg, height_cm, age_years, sex):\n",
|
||
" \"\"\"\n",
|
||
" Computes the Mifflin-St Jeor predicted RMR (kcal/day).\n",
|
||
" sex must be \"male\" or \"female\"\n",
|
||
" \"\"\"\n",
|
||
" if sex.lower() == \"male\":\n",
|
||
" return 10 * weight_kg + 6.25 * height_cm - 5 * age_years + 5\n",
|
||
" elif sex.lower() == \"female\":\n",
|
||
" return 10 * weight_kg + 6.25 * height_cm - 5 * age_years - 161\n",
|
||
" else:\n",
|
||
" raise ValueError(f\"sex should be 'male' or 'female', got {sex}\")\n",
|
||
"\n",
|
||
"def rmr_classification(ratio):\n",
|
||
" if ratio < 0.7:\n",
|
||
" return 'Very Slow'\n",
|
||
" elif 0.7 <= ratio < 0.9:\n",
|
||
" return 'Slow'\n",
|
||
" elif 0.9 <= ratio <= 1.1:\n",
|
||
" return 'Average'\n",
|
||
" elif 1.1 < ratio <= 1.3:\n",
|
||
" return 'Fast'\n",
|
||
" else:\n",
|
||
" return 'Very Fast'\n",
|
||
"\n",
|
||
"def plot_metabolism_chart(weight_kg, height_cm, age_years, sex, df, fig_width=11.5, fig_height=2.5):\n",
|
||
" \"\"\"\n",
|
||
" Generates a 'Slow vs Fast Metabolism' chart styled to match the provided sample:\n",
|
||
" - Bar is rectangular (not curved).\n",
|
||
" - First and last ticks are omitted, no tick at 0.3 and 1.9.\n",
|
||
" - Ticks are thicker and positioned below the bar (don't encroach).\n",
|
||
" - All text labels are bold.\n",
|
||
" - (Modified) A gap is added between the title and the graph.\n",
|
||
" - Text color, tick color, and triangle are all gray.\n",
|
||
" - (MODIFIED) The main horizontal bar is now THICKER.\n",
|
||
" \"\"\"\n",
|
||
" fig, ax = plt.subplots(figsize=(fig_width, fig_height)) # set global uniform width\n",
|
||
"\n",
|
||
" # Identify resting phase and measured RMR\n",
|
||
" rest_phase = df[df['MET'] <= 1.1] # assuming <1.1 MET = rest\n",
|
||
" measured_rmr = rest_phase['EE(kcal/day)'].mean()\n",
|
||
" mifflin_rmr = mifflin_st_jeor(weight_kg, height_cm, age_years, sex)\n",
|
||
" ratio = measured_rmr / mifflin_rmr if mifflin_rmr > 0 else float('nan')\n",
|
||
" print(f\"Measured RMR: {measured_rmr:.0f} kcal/day, Predicted (Mifflin-St Jeor): {mifflin_rmr:.0f} kcal/day, Ratio: {ratio:.2f}\")\n",
|
||
"\n",
|
||
" # Bar setup\n",
|
||
" scale_edges = [0.3, 0.7, 0.9, 1.1, 1.3, 1.5, 1.9] # bar runs from 0.3 to 1.9\n",
|
||
" scale_labels = ['Very Slow', 'Slow', 'Average', 'Fast', 'Very Fast']\n",
|
||
" tick_edges = scale_edges[1:-1] # remove first and last tick (omit 0.3 and 1.9)\n",
|
||
"\n",
|
||
" x_start = scale_edges[0]\n",
|
||
" x_end = scale_edges[-1]\n",
|
||
" # ---- Make the bar THICKER by increasing bar_height and adjusting y_bar ----\n",
|
||
" bar_height = 0.36\n",
|
||
" y_bar = 0.48\n",
|
||
" # ---------------------------------------------------------------------------\n",
|
||
"\n",
|
||
" color_before = \"#B2FFC8\"\n",
|
||
" color_after = \"#ECEDF2\"\n",
|
||
" gray_color = \"#606060\" # new variable for consistent gray\n",
|
||
"\n",
|
||
" # Draw plain rectangle bar (no rounding)\n",
|
||
" ax.add_patch(\n",
|
||
" patches.Rectangle(\n",
|
||
" (x_start, y_bar), x_end - x_start, bar_height,\n",
|
||
" ec='none', fc=color_after, lw=0\n",
|
||
" )\n",
|
||
" )\n",
|
||
" # Highlighted rectangle\n",
|
||
" highlight_end = min(max(ratio, x_start), x_end)\n",
|
||
" if highlight_end > x_start:\n",
|
||
" ax.add_patch(\n",
|
||
" patches.Rectangle(\n",
|
||
" (x_start, y_bar), highlight_end - x_start, bar_height,\n",
|
||
" ec='none', fc=color_before, lw=0\n",
|
||
" )\n",
|
||
" )\n",
|
||
"\n",
|
||
" # kCals label, left-aligned, bold inside green, TEXT COLOR now gray\n",
|
||
" ax.text(\n",
|
||
" x_start + 0.07, y_bar + bar_height/2,\n",
|
||
" f\"{int(round(measured_rmr))}kCals\",\n",
|
||
" ha=\"left\", va=\"center\",\n",
|
||
" color=gray_color,\n",
|
||
" fontsize=12, weight='bold',\n",
|
||
" bbox=dict(boxstyle=\"round,pad=0.14\", ec=\"none\", fc=\"#B2FFC8\", alpha=1.0)\n",
|
||
" )\n",
|
||
"\n",
|
||
" # Triangle marker above highlight end, now gray\n",
|
||
" ax.plot(\n",
|
||
" [highlight_end], [y_bar + bar_height + 0.08],\n",
|
||
" marker='v', markersize=14, color=gray_color, clip_on=False\n",
|
||
" )\n",
|
||
"\n",
|
||
" # Draw ticks – omit leftmost/rightmost (thicker and below bar), color gray\n",
|
||
" tick_width = 4.1\n",
|
||
" tick_bottom = y_bar - 0.07 # further below bar\n",
|
||
" tick_top = y_bar # at the base of bar\n",
|
||
" for edge in tick_edges:\n",
|
||
" ax.plot([edge, edge], [tick_bottom, tick_top], color=gray_color, lw=tick_width, solid_capstyle='butt', clip_on=False, zorder=2)\n",
|
||
"\n",
|
||
" # Label locations (place directly under each tick), text color gray\n",
|
||
" label_y = tick_bottom - 0.08\n",
|
||
" for label, tick in zip(scale_labels, tick_edges):\n",
|
||
" ax.text(\n",
|
||
" tick, label_y, label, ha='center', va='top',\n",
|
||
" fontsize=11, weight='bold',\n",
|
||
" color=gray_color\n",
|
||
" )\n",
|
||
" # Axis title: bold, with extra gap above the graph, color gray\n",
|
||
" ax.text(\n",
|
||
" x_start, y_bar + bar_height + 0.5, # changed 0.11 -> 0.17 for more gap\n",
|
||
" \"Slow vs Fast Metabolism\", ha='left', va='bottom',\n",
|
||
" fontsize=14, weight='bold'\n",
|
||
" )\n",
|
||
"\n",
|
||
" ax.set_xlim(x_start, x_end)\n",
|
||
" ax.set_ylim(0, 1)\n",
|
||
" ax.axis('off')\n",
|
||
"\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.savefig(f'{base_dir}/graphs/metabolism_chart.png', bbox_inches='tight', dpi=300)\n",
|
||
" plt.close(fig)\n",
|
||
" return fig\n",
|
||
"\n",
|
||
"def frange(start, stop, step):\n",
|
||
" vals = []\n",
|
||
" while start < stop - step/2:\n",
|
||
" vals.append(round(start, 10))\n",
|
||
" start += step\n",
|
||
" return vals\n",
|
||
"\n",
|
||
"def plot_fuel_source_chart(fig_width=11.5, fig_height=2.5):\n",
|
||
" \"\"\"\n",
|
||
" Generates and displays the 'Fuel Source' chart.\n",
|
||
" Uniform width/height for match.\n",
|
||
" \"\"\"\n",
|
||
" fig, ax = plt.subplots(figsize=(fig_width, fig_height)) # uniform width/height\n",
|
||
"\n",
|
||
" rest_phase = df[df['RER'] == 0.9]\n",
|
||
" fat_rest = rest_phase['FAT(%)'].mean()\n",
|
||
" carb_rest = rest_phase['CARBS(%)'].mean()\n",
|
||
" print(f\"Resting phase fuel mix: Fats {fat_rest:.1f}%, Carbs {carb_rest:.1f}%\")\n",
|
||
"\n",
|
||
" fat_percentage = fat_rest\n",
|
||
" carb_percentage = 100 - fat_percentage\n",
|
||
" optimal_point = 75\n",
|
||
"\n",
|
||
" # Let the bars be a bit thicker as well: increase bar height and y\n",
|
||
" fats_bar = patches.FancyBboxPatch(\n",
|
||
" (0, 0.36), fat_percentage, 0.28,\n",
|
||
" boxstyle=\"round,pad=0,rounding_size=0.1\",\n",
|
||
" ec=\"none\", fc=\"#FEEAAB\",\n",
|
||
" )\n",
|
||
" ax.add_patch(fats_bar)\n",
|
||
" carbs_bar = patches.FancyBboxPatch(\n",
|
||
" (fat_percentage, 0.36), carb_percentage, 0.28,\n",
|
||
" boxstyle=\"round,pad=0,rounding_size=0.1\",\n",
|
||
" ec=\"none\", fc=\"#A7F5FF\",\n",
|
||
" )\n",
|
||
" ax.add_patch(carbs_bar)\n",
|
||
"\n",
|
||
" # Style: match font weight/color/size with other chart\n",
|
||
" label_fontprops = dict(fontsize=12, weight='bold', color='#333333')\n",
|
||
"\n",
|
||
" ax.text(fat_percentage / 2, 0.5, f'Fats\\n{fat_percentage:.0f}%', \n",
|
||
" ha='center', va='center', **label_fontprops)\n",
|
||
" ax.text(fat_percentage + carb_percentage / 2, 0.5, f'Carbs\\n{100-fat_percentage:.0f}%', \n",
|
||
" ha='center', va='center', **label_fontprops)\n",
|
||
"\n",
|
||
" ax.text(optimal_point, 0.9, 'Optimal', ha='center', va='center', fontsize=12, weight='bold', color='#606060')\n",
|
||
" ax.plot([optimal_point, optimal_point], [0.65, 0.8], color='#606060', lw=3)\n",
|
||
"\n",
|
||
" ax.plot(fat_percentage, 0.7, 'v', markersize=15, color='#606060', clip_on=False)\n",
|
||
"\n",
|
||
" positions = [0, 25, 50, 75, 100]\n",
|
||
" # Gray color for all ticks\n",
|
||
" tick_color = '#606060'\n",
|
||
" for pos in positions:\n",
|
||
" # Smallest ticks (first and last)\n",
|
||
" if pos == 0:\n",
|
||
" ax.text(pos + 0.5, 0.15, str(pos), ha='center', va='center', fontsize=12, color='#333333', weight='bold')\n",
|
||
" ax.plot([pos, pos], [0.25, 0.37], color=tick_color, lw=14, solid_capstyle='butt')\n",
|
||
" elif pos == 100:\n",
|
||
" ax.text(pos - 0.5, 0.15, str(pos), ha='center', va='center', fontsize=12, color='#333333', weight='bold')\n",
|
||
" ax.plot([pos, pos], [0.25, 0.37], color=tick_color, lw=14, solid_capstyle='butt')\n",
|
||
" else:\n",
|
||
" ax.text(pos, 0.15, str(pos), ha='center', va='center', fontsize=12, color='#333333', weight='bold')\n",
|
||
" ax.plot([pos, pos], [0.25, 0.37], color=tick_color, lw=8, solid_capstyle='butt')\n",
|
||
" # Uniform style for title\n",
|
||
" ax.set_title('Fuel Source', fontsize=14, weight='bold', loc='left', pad=22)\n",
|
||
" ax.set_xlim(0, 100)\n",
|
||
" ax.set_ylim(0, 1)\n",
|
||
" ax.axis('off')\n",
|
||
"\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.savefig(f'{base_dir}/graphs/fuel_source_chart.png', bbox_inches='tight', dpi=300)\n",
|
||
" plt.close(fig)\n",
|
||
" return fig\n",
|
||
"\n",
|
||
"if __name__ == '__main__':\n",
|
||
" weight_kg = 56\n",
|
||
" height_cm = 162\n",
|
||
" age_years = 34\n",
|
||
" sex = \"female\"\n",
|
||
" print(\"Displaying Metabolism Chart...\")\n",
|
||
" fig1 = plot_metabolism_chart(weight_kg, height_cm, age_years, sex, df)\n",
|
||
" display(fig1)\n",
|
||
" \n",
|
||
" print(\"\\nDisplaying Fuel Source Chart...\")\n",
|
||
" fig2 = plot_fuel_source_chart()\n",
|
||
" display(fig2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "0ab6f0b0",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1150x360 with 4 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import os\n",
|
||
"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import matplotlib.transforms as mtransforms\n",
|
||
"from matplotlib.patches import FancyBboxPatch\n",
|
||
"# Ensure data is loaded\n",
|
||
"try:\n",
|
||
" spirometry_df = spirometry_data.copy()\n",
|
||
"except NameError:\n",
|
||
" spirometry_df = pd.read_csv('data/spirometry_data.csv')\n",
|
||
"\n",
|
||
"# Coerce numeric columns\n",
|
||
"for col in ['Best', 'LLN', 'Pred.', '%Pred.', 'ZScore']:\n",
|
||
" if col in spirometry_df.columns:\n",
|
||
" spirometry_df[col] = pd.to_numeric(spirometry_df[col], errors='coerce')\n",
|
||
"\n",
|
||
"# Select rows of interest and prepare display values\n",
|
||
"rows_map = {\n",
|
||
" 'Lung Volume': 'FVC',\n",
|
||
" 'Lung Power': 'FEV1',\n",
|
||
" 'Power/Volume': 'FEV1/FVC%'\n",
|
||
"}\n",
|
||
"\n",
|
||
"records = []\n",
|
||
"for label, param in rows_map.items():\n",
|
||
" row = spirometry_df.loc[spirometry_df['Parameters'].str.strip() == param]\n",
|
||
" if row.empty:\n",
|
||
" continue\n",
|
||
" row = row.iloc[0]\n",
|
||
" records.append({\n",
|
||
" 'label': label,\n",
|
||
" 'param': param,\n",
|
||
" 'best': row['Best'],\n",
|
||
" 'pct': row['%Pred.'],\n",
|
||
" 'z': row['ZScore']\n",
|
||
" })\n",
|
||
"\n",
|
||
"# Figure setup\n",
|
||
"os.makedirs('graphs', exist_ok=True)\n",
|
||
"fig, axes = plt.subplots(nrows=3, ncols=1, figsize=(11.5, 3.6), sharex=True,\n",
|
||
" gridspec_kw={'hspace': 0.65})\n",
|
||
"\n",
|
||
"x_min, x_max = -5, 3\n",
|
||
"# Segment colors: red -> orange -> yellow -> green\n",
|
||
"segments = [\n",
|
||
" (-5, -4, '#f4a7a7'), # red-ish\n",
|
||
" (-4, -3, '#f7c49a'), # orange-ish\n",
|
||
" (-3, -1.7, '#f6e3a3'), # yellow-ish\n",
|
||
" (-1.7, 3, '#c9f0cc'), # green-ish\n",
|
||
"]\n",
|
||
"\n",
|
||
"ticks = np.arange(x_min, x_max + 1, 1)\n",
|
||
"labels = [str(i) for i in ticks]\n",
|
||
"\n",
|
||
"# Plot each row\n",
|
||
"for ax, rec in zip(axes, records):\n",
|
||
" # Background segments\n",
|
||
" for a, b, color in segments:\n",
|
||
" ax.barh(0, width=b-a, left=a, height=0.6, color=color, edgecolor='none')\n",
|
||
"\n",
|
||
" # LLN (-1) and Predicted (0) markers\n",
|
||
" # ax.axvline(-1, color='black', lw=1)\n",
|
||
" ax.axvline(0, color='black', lw=1)\n",
|
||
"\n",
|
||
" # Z-score pointer (downward triangle) at top of each panel\n",
|
||
" if pd.notna(rec['z']):\n",
|
||
" trans = mtransforms.blended_transform_factory(ax.transData, ax.transAxes)\n",
|
||
" ax.plot(float(rec['z']), 1.2, marker='v', markersize=12, color='dimgray',\n",
|
||
" transform=trans, clip_on=False)\n",
|
||
"\n",
|
||
" # Labels, ticks, and styling\n",
|
||
" ax.set_title(rec['label'], loc='left', fontsize=11, fontweight='bold', pad=2)\n",
|
||
" ax.set_xlim(x_min, x_max)\n",
|
||
" ax.set_yticks([])\n",
|
||
" ax.set_xticks(ticks)\n",
|
||
" ax.set_xticklabels(labels, fontsize=8)\n",
|
||
" ax.set_xlabel('')\n",
|
||
"\n",
|
||
"# Add x-axis label to the bottom axis\n",
|
||
"# axes[-1].set_xlabel('Z-score', fontsize=10)\n",
|
||
"\n",
|
||
"# Top annotations\n",
|
||
"axes[0].text(-1.7, 0.45, 'LLN', ha='center', va='bottom', fontsize=9)\n",
|
||
"axes[0].text(0, 0.45, 'Predicted', ha='center', va='bottom', fontsize=9)\n",
|
||
"\n",
|
||
"# Right-side summary boxes\n",
|
||
"fig.subplots_adjust(right=0.78)\n",
|
||
"box_ax = fig.add_axes([0.805, 0.06, 0.18, 0.90]) # [left, bottom, width, height]\n",
|
||
"box_ax.axis('off')\n",
|
||
"\n",
|
||
"# Helper to draw a pill-shaped text box\n",
|
||
"\n",
|
||
"def pill(ax, xy, text):\n",
|
||
" x, y = xy\n",
|
||
" # Draw rounded rectangle background\n",
|
||
" bbox = FancyBboxPatch((x-0.48, y-0.09), 0.96, 0.18,\n",
|
||
" boxstyle='round,pad=0.02,rounding_size=0.08',\n",
|
||
" ec='#dddddd', fc='#f3f3f3', linewidth=1.0)\n",
|
||
" ax.add_patch(bbox)\n",
|
||
" ax.text(x, y+0.025, text, ha='center', va='center', fontsize=11, fontweight='bold')\n",
|
||
" ax.text(x, y-0.055, 'of predicted', ha='center', va='center', fontsize=9, color='#555555')\n",
|
||
"\n",
|
||
"box_ax.set_xlim(0, 1)\n",
|
||
"box_ax.set_ylim(0, 1)\n",
|
||
"\n",
|
||
"# Prepare display strings and positions (top to bottom)\n",
|
||
"right_items = []\n",
|
||
"for rec in records:\n",
|
||
" name = 'FVC' if rec['param'] == 'FVC' else ('FEV1' if rec['param'] == 'FEV1' else 'FEV1/FVC')\n",
|
||
" unit = 'L' if rec['param'] in ('FVC', 'FEV1') else '%'\n",
|
||
" value_fmt = f\"{rec['best']:.2f}{unit}\"\n",
|
||
" pct_fmt = f\"{rec['pct']:.1f}%\"\n",
|
||
" right_items.append((name, value_fmt, pct_fmt))\n",
|
||
"\n",
|
||
"# Sort to match image order on the right (FVC, FEV1, FEV1/FVC)\n",
|
||
"order = ['FVC', 'FEV1', 'FEV1/FVC']\n",
|
||
"right_items_sorted = [next(item for item in right_items if item[0] == k) for k in order]\n",
|
||
"\n",
|
||
"ys = [0.82, 0.48, 0.15]\n",
|
||
"for (name, value_fmt, pct_fmt), y in zip(right_items_sorted, ys):\n",
|
||
" main_line = f\"{name}\\n{value_fmt} → {pct_fmt}\"\n",
|
||
" pill(box_ax, (0.5, y), main_line)\n",
|
||
"\n",
|
||
"plt.savefig(f'{base_dir}/graphs/spirometry_chart.png', dpi=300, bbox_inches='tight')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "ef8bc7ac",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1800x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
|
||
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(18, 5))\n",
|
||
"ax1 = plt.subplot()\n",
|
||
"\n",
|
||
"# Plot VT with step-like appearance\n",
|
||
"line1 = sns.lineplot(data=df, x='T(sec)', y='VT(l)_smoothed', label='VT (L)')\n",
|
||
"ax1.set_xlabel('Time (sec)')\n",
|
||
"ax1.set_ylabel('VT (L)')\n",
|
||
"ax1.grid(True, alpha=0.1)\n",
|
||
"ax1.set_ylim(0, min(8, df['VT(l)_smoothed'].max()))\n",
|
||
"\n",
|
||
"# Set x-axis limits to remove padding\n",
|
||
"ax1.set_xlim(0, df['T(sec)'].max())\n",
|
||
"\n",
|
||
"# Plot speed as step function on secondary y-axis\n",
|
||
"ax2 = ax1.twinx()\n",
|
||
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
|
||
"line2 = sns.lineplot(data=df, x='T(sec)', y='Speed', color='green', ax=ax2, \n",
|
||
" drawstyle='steps-post', linewidth=2, label='Speed')\n",
|
||
"ax2.set_ylabel('Speed')\n",
|
||
"ax2.set_ylim(0, min(30, df['Speed'].max()) + 1)\n",
|
||
"\n",
|
||
"# Remove default legends first\n",
|
||
"ax1.get_legend().remove()\n",
|
||
"ax2.get_legend().remove()\n",
|
||
"\n",
|
||
"# Combine legends from both axes in the top left\n",
|
||
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
|
||
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
|
||
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n",
|
||
"\n",
|
||
"# Add colored background regions if you have phase information\n",
|
||
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
|
||
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
|
||
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
|
||
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
|
||
"\n",
|
||
"plt.savefig(f'{base_dir}/graphs/respiratory.png', dpi=300, bbox_inches='tight')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "06244aa2",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1500x800 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"\n",
|
||
"# Group by speed and calculate mean for numeric columns only\n",
|
||
"speed_groups = df.groupby('Speed').mean(numeric_only=True).round(1)\n",
|
||
"\n",
|
||
"# Drop the first and last row from speed_groups\n",
|
||
"speed_groups = speed_groups.iloc[1:-1]\n",
|
||
"\n",
|
||
"# Filter data to only include speeds in the desired range\n",
|
||
"filtered_data = speed_groups[(speed_groups.index >= 3.5) & (speed_groups.index <= 7.5)]\n",
|
||
"\n",
|
||
"# Create figure with specific size\n",
|
||
"plt.figure(figsize=(15, 8))\n",
|
||
"plt.style.use('default')\n",
|
||
"\n",
|
||
"# Create stage labels and positions\n",
|
||
"stage_labels = [f'Stage {i}' for i in range(1, len(filtered_data) + 1)]\n",
|
||
"x_positions = np.arange(len(filtered_data))\n",
|
||
"\n",
|
||
"# Calculate fat and carbs energy expenditure from percentages\n",
|
||
"fat_ee = filtered_data['EE(kcal/min)'] * filtered_data['FAT(%)'] / 100\n",
|
||
"carbs_ee = filtered_data['EE(kcal/min)'] * filtered_data['CARBS(%)'] / 100\n",
|
||
"\n",
|
||
"# Create the main axis for the stacked bars\n",
|
||
"ax1 = plt.gca()\n",
|
||
"\n",
|
||
"# Create stacked bar chart with colors\n",
|
||
"bars_fat = ax1.bar(x_positions, fat_ee, color='#1f77b4', alpha=0.8, width=0.6, label='Fat')\n",
|
||
"bars_carbs = ax1.bar(x_positions, carbs_ee, bottom=fat_ee, color='#ff7f0e', alpha=0.8, width=0.6, label='Carbs')\n",
|
||
"\n",
|
||
"# Set labels and formatting for primary axis\n",
|
||
"ax1.set_xlabel('', fontsize=12)\n",
|
||
"ax1.set_ylabel('Fuel (kcal/min)', fontsize=12)\n",
|
||
"ax1.set_ylim(0, 20)\n",
|
||
"\n",
|
||
"# Add individual values on each bar segment\n",
|
||
"for i, (fat_val, carb_val, total_val) in enumerate(zip(fat_ee, carbs_ee, filtered_data['EE(kcal/min)'])):\n",
|
||
" if fat_val > 0.3: # Fat value\n",
|
||
" ax1.text(i, fat_val/2, f'{fat_val:.1f}', ha='center', va='center',\n",
|
||
" fontsize=9, fontweight='bold', color='white')\n",
|
||
" if carb_val > 0.3: # Carbs value\n",
|
||
" ax1.text(i, fat_val + carb_val/2, f'{carb_val:.1f}', ha='center', va='center',\n",
|
||
" fontsize=9, fontweight='bold', color='white')\n",
|
||
" # Total EE\n",
|
||
" ax1.text(i, total_val + 0.5, f'{total_val:.1f} kcal', ha='center', va='bottom',\n",
|
||
" fontsize=10, fontweight='bold', color='black')\n",
|
||
"\n",
|
||
"# Add speed labels below x-axis\n",
|
||
"for i, speed in enumerate(filtered_data.index):\n",
|
||
" ax1.text(i, -1.5, f'{speed:.1f} mph', ha='center', va='top', fontsize=9)\n",
|
||
" ax1.text(i, -2.8, f'{speed*1.609:.1f} min/km', ha='center', va='top', fontsize=8, color='gray')\n",
|
||
"\n",
|
||
"# Create secondary y-axis for heart rate\n",
|
||
"ax2 = ax1.twinx()\n",
|
||
"\n",
|
||
"# Plot heart rate line (no manual offset)\n",
|
||
"hr_line = ax2.plot(x_positions, filtered_data['HR(bpm)'],\n",
|
||
" marker='o', linewidth=3, markersize=8, color='red', label='Heart Rate')\n",
|
||
"\n",
|
||
"# Set heart rate axis formatting\n",
|
||
"ax2.set_ylabel('Heart Rate (bpm)', fontsize=12, color='red')\n",
|
||
"ax2.tick_params(axis='y', labelcolor='red')\n",
|
||
"\n",
|
||
"# Dynamically adjust HR axis to float above bars\n",
|
||
"max_bar_height = max(filtered_data['EE(kcal/min)'])\n",
|
||
"ax2.set_ylim(0, 220) # ensures HR line is above bars\n",
|
||
"\n",
|
||
"\n",
|
||
"# Add HR values above the points\n",
|
||
"for i, hr in enumerate(filtered_data['HR(bpm)']):\n",
|
||
" ax2.text(i, hr + 10, f'{int(hr)}bpm', ha='center', va='bottom',\n",
|
||
" fontsize=10, fontweight='bold', color='red')\n",
|
||
"\n",
|
||
"# Set x-axis formatting\n",
|
||
"ax1.set_xticks(x_positions)\n",
|
||
"ax1.set_xticklabels(stage_labels, fontsize=11)\n",
|
||
"\n",
|
||
"# Add title\n",
|
||
"plt.suptitle('Fuel Utilization Report - Institute of Science, Health and Performance',\n",
|
||
" fontsize=14, fontweight='bold', y=0.95)\n",
|
||
"\n",
|
||
"# Create legend\n",
|
||
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
|
||
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
|
||
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left',\n",
|
||
" frameon=True, fancybox=True, shadow=True)\n",
|
||
"\n",
|
||
"# Add grid\n",
|
||
"ax1.grid(True, alpha=0.3, linestyle='-', linewidth=0.5)\n",
|
||
"ax1.set_axisbelow(True)\n",
|
||
"\n",
|
||
"# Adjust layout\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.subplots_adjust(bottom=0.1, top=0.9)\n",
|
||
"plt.savefig(f'{base_dir}/graphs/fuel_utilization_chart.png', dpi=300)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"id": "8a1878a0",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1800x500 with 3 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
|
||
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(18, 5))\n",
|
||
"ax1 = plt.subplot()\n",
|
||
"\n",
|
||
"# Plot VO2 Pulse\n",
|
||
"#\n",
|
||
"line1 = sns.lineplot(data=df, x='T(sec)', y='VO2 Pulse_smoothed', label='VO2 Pulse (mL/beat)', color='blue')\n",
|
||
"ax1.set_xlabel('Time (sec)')\n",
|
||
"ax1.set_ylabel('VO2 Pulse (mL/beat)')\n",
|
||
"# ax1.set_title('VO2 Pulse, Heart Rate, and Speed Over Time')\n",
|
||
"ax1.set_ylim(0, df['VO2 Pulse_smoothed'].max())\n",
|
||
"ax1.grid(True, alpha=0.1)\n",
|
||
"# Set x-axis limits to remove padding\n",
|
||
"ax1.set_xlim(0, df['T(sec)'].max())\n",
|
||
"# Create second y-axis for heart rate\n",
|
||
"#\n",
|
||
"ax2 = ax1.twinx()\n",
|
||
"line2 = sns.lineplot(data=df, x='T(sec)', y='HR(bpm)_smoothed', color='red', ax=ax2, \n",
|
||
" linewidth=2, label='Heart Rate (bpm)')\n",
|
||
"ax2.set_ylabel('Heart Rate (bpm)', color='red')\n",
|
||
"ax2.tick_params(axis='y', labelcolor='red')\n",
|
||
"ax2.set_ylim(60, df['HR(bpm)_smoothed'].max() + 1)\n",
|
||
"\n",
|
||
"# Create third y-axis for speed\n",
|
||
"ax3 = ax1.twinx()\n",
|
||
"ax3.spines['right'].set_position(('outward', 60))\n",
|
||
"\n",
|
||
"line3 = sns.lineplot(data=df, x='T(sec)', y='Speed', color='green', ax=ax3, \n",
|
||
" drawstyle='steps-post', linewidth=2, label='Speed')\n",
|
||
"ax3.set_ylabel('Speed', color='green')\n",
|
||
"ax3.tick_params(axis='y', labelcolor='green')\n",
|
||
"ax3.set_ylim(0, df['Speed'].max() + 1)\n",
|
||
"\n",
|
||
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
|
||
"\n",
|
||
"# Remove default legends first\n",
|
||
"if ax1.get_legend():\n",
|
||
" ax1.get_legend().remove()\n",
|
||
"if ax2.get_legend():\n",
|
||
" ax2.get_legend().remove()\n",
|
||
"if ax3.get_legend():\n",
|
||
" ax3.get_legend().remove()\n",
|
||
"\n",
|
||
"# Combine legends from all axes in the top left\n",
|
||
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
|
||
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
|
||
"lines3, labels3 = ax3.get_legend_handles_labels()\n",
|
||
"ax1.legend(lines1 + lines2 + lines3, labels1 + labels2 + labels3, loc='upper left')\n",
|
||
"\n",
|
||
"# Add colored background regions if you have phase information\n",
|
||
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
|
||
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
|
||
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
|
||
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
|
||
"\n",
|
||
"plt.savefig(f'{base_dir}/graphs/vo2_pulse_chart.png', bbox_inches='tight', dpi=300)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "7361fb05",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1800x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
|
||
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(18, 5))\n",
|
||
"ax1 = plt.subplot()\n",
|
||
"\n",
|
||
"# Plot VT with step-like appearance\n",
|
||
"line1 = sns.lineplot(data=df, x='T(sec)', y='VO2 Breath_smoothed', label='VO2 per Breath (mL/breath)')\n",
|
||
"ax1.set_xlabel('Time (sec)')\n",
|
||
"ax1.set_ylabel('VO2 per Breath (mL/breath)')\n",
|
||
"# ax1.set_title('VO2 per Breath and Speed Over Time')\n",
|
||
"ax1.set_ylim(0, df['VO2 Breath_smoothed'].max() + 1)\n",
|
||
"ax1.grid(True, alpha=0.1)\n",
|
||
"# Set x-axis limits to remove padding\n",
|
||
"ax1.set_xlim(0, df['T(sec)'].max())\n",
|
||
"\n",
|
||
"# Plot speed as step function on secondary y-axis\n",
|
||
"ax2 = ax1.twinx()\n",
|
||
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
|
||
"line2 = sns.lineplot(data=df, x='T(sec)', y='Speed', color='green', ax=ax2, \n",
|
||
" drawstyle='steps-post', linewidth=2, label='Speed')\n",
|
||
"ax2.set_ylim(0, df['Speed'].max() + 1)\n",
|
||
"ax2.set_ylabel('Speed')\n",
|
||
"\n",
|
||
"# Remove default legends first\n",
|
||
"ax1.get_legend().remove()\n",
|
||
"ax2.get_legend().remove()\n",
|
||
"\n",
|
||
"# Combine legends from both axes in the top left\n",
|
||
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
|
||
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
|
||
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n",
|
||
"\n",
|
||
"# Add colored background regions if you have phase information\n",
|
||
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
|
||
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
|
||
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
|
||
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
|
||
"\n",
|
||
"plt.savefig(f'{base_dir}/graphs/vo2_breath_chart.png', bbox_inches='tight', dpi=300)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"id": "c89478ff",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1800x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
|
||
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(18, 5))\n",
|
||
"ax1 = plt.subplot()\n",
|
||
"\n",
|
||
"df['CHO']\n",
|
||
"# Plot VT with step-like appearance\n",
|
||
"line1 = sns.lineplot(data=df, x='T(sec)', y='CHO_smoothed', label='CHO (kcal/min)')\n",
|
||
"ax1.set_xlabel('Time (sec)')\n",
|
||
"ax1.set_ylabel('CHO (g/min)')\n",
|
||
"# ax1.set_title('CHO and Speed Over Time')\n",
|
||
"ax1.grid(True, alpha=0.1)\n",
|
||
"# Set x-axis limits to remove padding\n",
|
||
"ax1.set_xlim(0, df['T(sec)'].max())\n",
|
||
"# Plot speed as step function on secondary y-axis\n",
|
||
"ax2 = ax1.twinx()\n",
|
||
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
|
||
"line2 = sns.lineplot(data=df, x='T(sec)', y='FAT_smoothed', color='green', ax=ax2, label='FAT (kcal/min)')\n",
|
||
"ax2.set_ylabel('FAT (kcal/min)')\n",
|
||
"\n",
|
||
"ax2.set_ylim(0, 15) # ensures HR line is above bars\n",
|
||
"\n",
|
||
"# Remove default legends first\n",
|
||
"ax1.get_legend().remove()\n",
|
||
"ax2.get_legend().remove()\n",
|
||
"\n",
|
||
"# Combine legends from both axes in the top left\n",
|
||
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
|
||
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
|
||
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n",
|
||
"\n",
|
||
"# Add colored background regions if you have phase information\n",
|
||
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
|
||
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
|
||
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
|
||
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
|
||
"\n",
|
||
"plt.savefig(f'{base_dir}/graphs/fat_metabolism_chart.png', bbox_inches='tight', dpi=300)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"id": "1db16040",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1800x500 with 3 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"first_unique_phase = df.drop_duplicates(subset='PHASE')\n",
|
||
"phase_times = first_unique_phase['T(sec)'].tolist()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(18, 5))\n",
|
||
"ax1 = plt.subplot()\n",
|
||
"\n",
|
||
"# Plot VO2 Pulse\n",
|
||
"line1 = sns.lineplot(data=df, x='T(sec)', y='VCO2(ml/min)_smoothed', label='VCO2 (ml/min)', color='blue')\n",
|
||
"ax1.set_xlabel('Time (sec)')\n",
|
||
"ax1.set_ylabel('VO2 Pulse (mL/beat)')\n",
|
||
"# ax1.set_title('VO2 Pulse, Heart Rate, and Speed Over Time')\n",
|
||
"ax1.set_ylim(0, df['VCO2(ml/min)'].max())\n",
|
||
"ax1.grid(True, alpha=0.1)\n",
|
||
"# Set x-axis limits to remove padding\n",
|
||
"ax1.set_xlim(0, df['T(sec)'].max())\n",
|
||
"\n",
|
||
"# Create second y-axis for heart rate\n",
|
||
"ax2 = ax1.twinx()\n",
|
||
"line2 = sns.lineplot(data=df, x='T(sec)', y='HR(bpm)_smoothed', color='red', ax=ax2, \n",
|
||
" linewidth=2, label='Heart Rate (bpm)')\n",
|
||
"ax2.set_ylabel('Heart Rate (bpm)', color='red')\n",
|
||
"ax2.set_ylim(df['HR(bpm)_smoothed'].min() - 1, df['HR(bpm)_smoothed'].max() + 1)\n",
|
||
"ax2.tick_params(axis='y', labelcolor='red')\n",
|
||
"\n",
|
||
"# Create third y-axis for speed\n",
|
||
"ax3 = ax1.twinx()\n",
|
||
"ax3.spines['right'].set_position(('outward', 60))\n",
|
||
"line3 = sns.lineplot(data=df, x='T(sec)', y='BF(bpm)_smoothed', color='green', ax=ax3, linewidth=2, label='BF (bpm)')\n",
|
||
"ax3.set_ylabel('BF (bpm)', color='green')\n",
|
||
"ax3.tick_params(axis='y', labelcolor='green')\n",
|
||
"ax3.set_ylim(0, df['BF(bpm)_smoothed'].max() + 1)\n",
|
||
"ax1.set_xticks(np.arange(0, df['T(sec)'].max(), 200))\n",
|
||
"\n",
|
||
"# Remove default legends first\n",
|
||
"if ax1.get_legend():\n",
|
||
" ax1.get_legend().remove()\n",
|
||
"if ax2.get_legend():\n",
|
||
" ax2.get_legend().remove()\n",
|
||
"if ax3.get_legend():\n",
|
||
" ax3.get_legend().remove()\n",
|
||
"\n",
|
||
"# Combine legends from all axes in the top left\n",
|
||
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
|
||
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
|
||
"lines3, labels3 = ax3.get_legend_handles_labels()\n",
|
||
"ax1.legend(lines1 + lines2 + lines3, labels1 + labels2 + labels3, loc='upper left')\n",
|
||
"\n",
|
||
"# Add colored background regions if you have phase information\n",
|
||
"ax1.axvspan(0, phase_times[1], alpha=0.2, color='lightblue')\n",
|
||
"ax1.axvspan(phase_times[1], phase_times[2], alpha=0.2, color='purple')\n",
|
||
"ax1.axvspan(phase_times[2], phase_times[3], alpha=0.2, color='lightgreen')\n",
|
||
"ax1.axvspan(phase_times[3], df['T(sec)'].max(), alpha=0.2, color='blue')\n",
|
||
"\n",
|
||
"plt.savefig(f'{base_dir}/graphs/recovery_chart.png', bbox_inches='tight', dpi=300)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"id": "c8ad6076",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1200x550 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Plot TSI (Left) and TSI2 (Right) with Black Slope (Trend) Lines per Stage\n",
|
||
"from numpy.polynomial.polynomial import Polynomial\n",
|
||
"\n",
|
||
"plt.figure(figsize=(12, 5.5))\n",
|
||
"\n",
|
||
"# Plot TSI (Left Leg)\n",
|
||
"plt.plot(\n",
|
||
" oxygenation['Time'], oxygenation['TSI'], \n",
|
||
" label='TSI (Left Leg)', color='steelblue', linewidth=2\n",
|
||
")\n",
|
||
"\n",
|
||
"# Plot TSI2 (Right Leg)\n",
|
||
"plt.plot(\n",
|
||
" oxygenation['Time'], oxygenation['TSI-second'],\n",
|
||
" label='TSI2 (Right Leg)', color='orange', linewidth=2\n",
|
||
")\n",
|
||
"\n",
|
||
"# Define time intervals for stages (adjust these based on your test protocol)\n",
|
||
"# Looking at the data range, we'll create intervals\n",
|
||
"max_time = oxygenation['Time'].max()\n",
|
||
"intervals = [\n",
|
||
" (0, 250),\n",
|
||
" (250, 500),\n",
|
||
" (500, 750),\n",
|
||
" (750, 1000),\n",
|
||
" (1000, 1250),\n",
|
||
" (1250, 1500),\n",
|
||
" (1500, max_time)\n",
|
||
"]\n",
|
||
"\n",
|
||
"# Calculate and plot trend lines for each interval\n",
|
||
"for start_time, end_time in intervals:\n",
|
||
" # Filter data for this interval\n",
|
||
" mask_interval = (oxygenation['Time'] >= start_time) & (oxygenation['Time'] <= end_time)\n",
|
||
" \n",
|
||
" # TSI (Left Leg) trend for this interval\n",
|
||
" mask_left = mask_interval & ~oxygenation['TSI'].isna()\n",
|
||
" if mask_left.sum() > 1: # Need at least 2 points for a line\n",
|
||
" x_left = oxygenation.loc[mask_left, 'Time']\n",
|
||
" y_left = oxygenation.loc[mask_left, 'TSI']\n",
|
||
" coefs_left = Polynomial.fit(x_left, y_left, 1).convert().coef\n",
|
||
" trend_left = coefs_left[0] + coefs_left[1] * x_left\n",
|
||
" plt.plot(x_left, trend_left, color='black', linestyle='--', linewidth=2, alpha=0.8)\n",
|
||
" \n",
|
||
" # TSI-second (Right Leg) trend for this interval\n",
|
||
" mask_right = mask_interval & ~oxygenation['TSI-second'].isna()\n",
|
||
" if mask_right.sum() > 1: # Need at least 2 points for a line\n",
|
||
" x_right = oxygenation.loc[mask_right, 'Time']\n",
|
||
" y_right = oxygenation.loc[mask_right, 'TSI-second']\n",
|
||
" coefs_right = Polynomial.fit(x_right, y_right, 1).convert().coef\n",
|
||
" trend_right = coefs_right[0] + coefs_right[1] * x_right\n",
|
||
" plt.plot(x_right, trend_right, color='black', linestyle='--', linewidth=2, alpha=0.8)\n",
|
||
"\n",
|
||
"plt.xlabel('Time (s)')\n",
|
||
"plt.ylabel('TSI (%)')\n",
|
||
"plt.title('TSI (Left) and TSI2 (Right) with Black Slope Lines per Stage')\n",
|
||
"plt.legend(fontsize=10, loc='upper right')\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.grid(alpha=0.25)\n",
|
||
"# plt.savefig('graphs/tsi_comparison_with_trends.png', bbox_inches='tight', dpi=160)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"id": "25327cc1",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Age: 45, Gender: male, VO2 Max: 35.5\n",
|
||
"Age Range: 40-49, Category: Poor\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "iVBORw0KGgoAAAANSUhEUgAABW4AAAEhCAYAAADvdTm0AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAY/JJREFUeJzt3Xd4FMUfx/FPeiOQRugQeu+9o3SQLk1FEBAFKYKiFCk/VFAUBFQEUZr0joj0pvQuvfcOgZCE9OR+fxzZ5EinyAnv1/Pkee52Z2ZnLzu3t9+dnbExmUwmAQAAAAAAAACshu3zrgAAAAAAAAAAwBKBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAADw1AwYMkI2NjWxsbLRw4cLnXZ1k+fn5GXUdPnz4867OM9OpUydjP2vVqvW8q4MkJHU8bt682VhuY2OjCxcuPNF2rl69KkdHR9nY2Khy5cpPVmkAAPBMEbgFAMCKNGjQwLg49/T0VHh4eKLpTCaT8ubNa6QtXbp0gvV//PGH2rdvrzx58sjNzU0uLi7KmTOnWrRooblz5yo6OjpBuVFRUVq6dKn69OmjSpUqKWfOnHJ2dla6dOlUokQJffrpp7p161aa9mn48OEWQQcbGxuNHTs20bQDBw5MkHb69Olp2p41W7hwod544w0VLVpUPj4+cnBwULp06VS4cGF16dJFBw4cSDTfo59JYn9XrlxJU12eRZnXrl3ThAkTJEl58+ZVq1atLNavW7dOffr0UZUqVeTq6pqmYNS6devUtGlT+fr6ytHRUdmyZVO7du20d+/eRNM/r6Dsk7ahU6dOqUuXLvLz85OTk5N8fHxUt25dLViwINH0BGX/G6zpJkG2bNn0xhtvSJJ27typZcuWPdf6AACApNk/7woAAIA4nTp10po1ayRJAQEB+uOPPxIEvyRp27ZtOnfunEW+WLdu3VK7du20adOmBPkuX76sy5cva9myZRo9erQWL16sPHnyGOvv3Lmjli1bJsgXHh6uw4cP6/Dhw5o2bZo2bdqkokWLPvZ+/vjjj/rwww9laxt3Dzk0NFRTpkx57DL/C2bMmKGVK1daLIuKitKJEyd04sQJzZw5U/Pnz0/0f/Bf8NVXXyk0NFSS1LNnT4v/r2T+vy9fvjzN5Q4dOlSff/65xbJr165p/vz5WrhwoSZPnqyuXbs+fsWfoidpQ3/++adatWqlsLAwY5m/v7/Wr1+v9evX688//9S0adNkY2PzzPcD/77Bgwfr/v37kqQqVao802316dNHM2bMkGRuX82bN3+m2wMAAI+HwC0AAFakefPm8vDwUEBAgCRp5syZiQZuZ86cabx2cHDQm2++Kckc/GzYsKH2799vrC9VqpQaN24sBwcHbdiwQX///bck6eDBg6pdu7b27NkjHx8fi/IdHBxUp04dlS9fXpGRkVq4cKHOnDkjSbp9+7bee+89bd269bH389y5c/rjjz/UtGlTY9ns2bPl7+//2GX+F7i6uqpWrVoqXry4fH19FRUVpW3btmn9+vWSzEHcQYMGJRm49fT01KBBgxJd5+Hh8Vh1elplhoaGGselra2t2rRpkyCNjY2NsmfPrnLlyik6OlorVqxIsdwVK1ZYBG0bNGigatWqaeXKldqxY4diYmLUvXt3lStXTqVKlUp1fZ+1tLahq1evqn379kbQtkiRImrXrp2OHTumefPmSTIH/suXL68PPvjg398hKxURESGTySQnJ6fnXZUn9u677/5r2ypdurQKFCigU6dO6fDhw9qxYwfDJgAAYI1MAADAqrz//vsmSSZJJgcHB9OdO3cs1oeFhZk8PDyMNC1atDDWffnll8ZySaZ3333XFBMTY5F/+PDhFmnef/99Y93t27dNH374oen69esWeUJCQkyFChWyyHf//v1U7c+wYcMs8tna2pokmWrXrm2Rrnjx4iZJJjs7O4v006ZNM9JERkaaPvvsM1PDhg1NefLkMWXIkMFkb29v8vLyMlWrVs00YcIEU0REhJE+KCjIlDdvXqOsli1bWmzz3XffNdZlzpzZdOvWrVTt09NWp04dox7Ozs4J1seuy5Ur11Pb5tMuc9asWUaZVapUSTRNSEiI8XratGkW/+fz588nmqd8+fJGmqpVqxrLw8PDTblz5zbWtWnTxmQymUwdO3a0KDexv1i5cuUylg0bNsz0zz//mJo2bWry8PAwubi4mKpVq2b6+++/0/Q5PG4b6t+/v7Hc3d3d5O/vb6x74403jHVZs2Y1RUVFJfj8EvvbtGlTgs+kZs2aptu3b5u6d+9uypIli8nR0dFUqFAh088//5ym/Xy0ja5cudJUtWpVk5ubm8nDw8PUqlUr0+nTpxPNe/bsWVOvXr1MhQoVMrm6upqcnZ1NhQsXNn366aem27dvJ0hfs2ZNY1sdO3Y0HT582NSsWTOTl5eXSZLpwIEDRtrLly+bPvnkE1OpUqVM7u7uJicnJ1OOHDlMzZo1M61duzZB2b///rupadOmpsyZM5scHBxMHh4epldeecU0a9asBN+d58+fT/D5zp0711ShQgWTi4uLycPDw/T666+bLl26ZOR5kuMx1qZNm5JtK9HR0aaZM2ea6tata8qYMaPJwcHB5OPjY2rUqJFp5cqVSf4PBw0aZJTZtWvXJNMBAIDnh8AtAABWZufOnRYX6T/88IPF+oULF1qsX758ubEu/oW/u7u76e7duwnKj4iIsEjn7OxsCg0NTbFeH330kcV2Hw0oJ+XRwG3z5s2N10ePHjWZTCbTxo0bLQLRSQVug4KCUgyC1KlTxxQVFWXk2bVrl8ne3t5YP3fuXJPJZDKtXr3aWGZjY5NoUOdZu3//vmn16tUmX19foy5ly5ZNkC52nZOTkyl79uwme3t7k4eHh6latWqmiRMnmiIjI9O87add5ttvv22U+fHHH6eYPjWB2+vXr1ukGTNmjMX6Xr16Gevc3NxM0dHRjx0oq1mzpsnZ2TlBWicnJ9OxY8fS9FkkJbk2VLBgQWN5kyZNLPItXrzYIt/OnTsfO3BbsGBBk5+fX6Lpf/3111TvS/x8r7zySqLleXt7m06ePGmRb9myZSZXV9ck65wtW7YEn3f8wG3p0qVNbm5uFnliA7crV640ubu7J1l2nz59jDKjo6NNHTp0SPbza926tcV3yaOB22rVqiWaL3/+/MZ36rMO3IaEhFjc+Ensr1+/fon+D1esWGGkeZo3hQAAwNPDUAkAAFiZihUrqnDhwjp+/Lgk87AI8R+Njj9Mgq+vrxo1aiTJPH7txYsXjXV16tSRp6dngvIdHBzUokULjRs3TpIUFhamvXv3qlq1asnW68SJE8brPHnyyNvbO+07J/PYirGT4UyYMEGTJk0yJrSytbVVz549tXTp0kTz2tjYKE+ePKpUqZKyZcsmT09PRUZG6sSJE1q4cKGioqK0fv16LV682HhUv0KFChoxYoQxHEDPnj1VunRpdenSxSi3X79+qlu37mPtz+PInj27rl69mmC5h4eHxo8fn2S+8PBwY8KwgIAAbd26VVu3btW8efO0evVqubi4pLkuT6vM2CE4JKlcuXJprkdiDh06ZPE+/njMj75/8OCBzp49q3bt2qlYsWIaOXKk7t27J0mqW7eu6tWrl+y2tmzZouzZs+vNN9/U5cuXNWfOHEnmz2f8+PGaNGnSE+9PUm0oPDxcp06dSnS/Ent/6NAhValSRd98843mz59vTNCWJ08ede/e3UiXN2/eBHU4efKknJ2d1b17d7m4uOinn34yxiUePXq0OnfunOb92rRpk8qWLatGjRrpyJEjRvv19/fX+++/r40bN0qSzp8/r/bt2xvbK1q0qFq0aKGYmBjNnj1bFy9e1NWrV9WqVSsdPnxYdnZ2CbZ14MAB2dvbq0OHDsqfP79OnDghZ2dnXbx4Ua1bt1ZISIgk83dF06ZNVapUKd2+fduoQ6zRo0frt99+M9K2atVKJUuW1Pnz5/Xbb78Zw1uUKlUqyaFEtm7dqvLly6t+/fratGmTtm3bJkk6ffq0li1bpnbt2j328Zhaffv2NYZacXR0VLt27ZQ/f34dPnxYCxculMlk0tixY1W2bFljQrJY5cuXN15fvHhRly9fVo4cOZ5KvQAAwFPyvCPHAAAgoa+//tqix1Rsr7Xbt2+bHBwcjOV9+/Y18uzatcsiz4cffphk+d99951F2gULFiRbn3nz5lmknz59eqr35dEet0FBQaYqVaoYvST3799vDJ/QpEmTBL3a4ve4jXXz5k3T8uXLTRMnTjR9++23pm+++cZUrFgxI0/nzp0t0kdHR5tq1aplrE+XLp1FD77w8PBU78/TkC1btgS94vLkyWPau3dvouklmUqUKGHq1q2bacSIEaYePXpYDJchpa6X67MqMyoqymRjY2Pk27ZtW4p5UtPjdu7cuRZpNmzYYLH+l19+sVi/Y8cOY11SvRfji5/Gzc3NdPXqVWNd/J7hZcqUSdXnkJzk2tCjPYuHDBlikffMmTMW60eNGmWse3QYhMQ82utz2bJlxrpx48ZZrAsMDEzV/sTPU7RoUYs2FH8IEknGkAl9+/Y1lhUoUMCip/+1a9cshkmJ/yRB/B63j9Y/Vr9+/SzSzJ4922J9dHS0cYxFR0ebfHx8jLRDhw61SDt69Ghjnbe3tyk6OtpkMiXscVuhQgVjaJaIiAiLnvOP9nJN6/GYmh63/v7+Fk8TTJ061aK8Hj16WHzPJSb++SS2hzYAALAe9LgFAMAKdejQQYMGDVJ0dLQk6bffftPnn3+uefPmKTIy0kj3zjvvPPO6TJ48WT179jTe9+/fXx07dnyiMvv06aPt27frwYMHatKkiWJiYiRJvXv3TjZfaGioevTooZkzZxp5EhPbgzSWra2tfvvtN5UsWVJ3795VcHCwJPNkYXPnzpWjo2Oq6n306FGtWrUqwfJixYqpQYMGqSpDkoYMGaL79+/rzp072rBhg/bv369z586pSpUq+uWXX9ShQweL9MePH1ehQoUslg0ePNjoTSiZJ64aPXq0bGxsUlWHp1mmv7+/TCaT8d7LyytVdUir+NtI7P2TaNasmbJmzWq8L1iwoPE6tqekJK1evVpHjhxJkL9hw4YqWrRoomWntQ09y/3MmjWrmjVrZryPv5+SeV/d3d3TVGbbtm0t2tBbb72lKVOmGO/37dunfPnyGT1SJenUqVPJ9ubevn27xeSFsYoVK2ZR/1jxJ3orXLhwgt6ltra28vPzk2TudXznzh1j3YgRIzRixIhE6+Hv769Tp04laCuS1LVrVzk4OEgyP8mQO3du3bp1S5LlMfOs7Nq1S1FRUcb7zp07J9lj+uDBgwoJCZGrq6vFci8vL928eVOSjHYPAACsB4FbAACsUJYsWVSvXj0jSDhr1iyNGDHCYpiEMmXKqHjx4hZ54os/bMKjHl33aF5JiomJ0SeffKIxY8YYy4YNG6bhw4enaV8S07JlS2XPnl1XrlwxhgwoWrSo6tSpowsXLiSZb+DAgZo+fXqK5YeHhydYlj17djVv3lxTp041ltWpUydB4Co5e/bsUf/+/RMs79ixY5oCt++9957F+y5dumjq1KmKiIjQe++9p7p16ypz5szG+sSCRlmzZlWrVq2MR/hv376tO3fuKGPGjKmqw7Mo82l7dDiOoKCgZN/7+Pg89rZig3qxnJycjNfxbxLMmzdPM2bMSJDfx8cnQeA2tW3I09NTNjY2RoD2ee1nbJ3TytfX1+J9pkyZLN4HBARIku7evZvqMpMKIiZ23D5adu7cuZMtOy31iK1LYttN7THzrKRlP0wmk/z9/RMEbp/mTQEAAPD0EbgFAMBKderUyQjcXrhwQVOmTNGePXss1seXI0cO5cqVywjKbtiwQQEBAfLw8LBIFxkZaTGGrLOzc4IxSUNCQvTGG29o+fLlksy9ySZNmvRY418mxt7eXj169LAYO7JXr14p5ps/f77xunjx4po7d64KFiwoe3t7tWnTRgsXLkwy75YtWxIEfX///XctW7ZMzZs3T/M+PE3NmjUzAsqhoaHatWtXor0KU5La3rZPu0wvLy+LwOPT6m1YokQJi/fnzp2zeH/27FnjtZubW4KxYNMitudkrCf9LNPShpycnFSwYEFjDNzk9lOSxQ2btHra+ynJ6GUaK7YHZ6zY76D4PbGLFi2a4DssvmLFiiW63M3NLdHl8cs+f/58ctVN0CO8Y8eOSW5PShigjfUsPsu0eHQ/+vbta9Fr/FEZMmRIsCx+W31eN2gAAEDSCNwCAGClmjVrJk9PT+PCum/fvsY6R0fHBI8CS1K3bt00ePBgSVJgYKAGDhyoiRMnWgQUvv76a4set506dZKzs7Px/vr162rSpIn27dsnyXyxv2jRItWpU+ep7l+3bt30+eefKzQ0VJ6engmGB0iMv7+/8fqVV14xejjevn1bmzdvTjLfvXv31KFDB6MXXPzJ37p27aoKFSokG/CI1alTp2SDTck5c+aMIiIiVKRIkQTrVq5cafE+/v9rypQpypo1qxo1amSx/Nq1a1q8eLHxPkuWLBY9VIcPH67//e9/kqRcuXJZ9GR+3DKTYm9vr5w5cxrH1eXLl1W5cuUU86UkU6ZMqlChgnbv3i1JWrJkifr16yfJ3Kt6xYoVRtrXXntNtra2xvv4QbXYCauehunTp6fY6/tx2lDTpk2NwO3mzZt19+5dIzAX/4ZEtmzZLG60PKv9TIv58+drwIABRl1mzZplsb5s2bKSpCpVqhj/y+vXr6t9+/bKli2bRdqoqCitWLFCFStWTFMdqlWrZpR9/PhxzZs3T+3atTPWm0wmXb58WTlz5lTBggXl7e1tfJ+Ehobq448/TlDmrVu3tG3btqcyYdez+D9VrFhRdnZ2xpA6Dg4Oie7HhQsXdPLkSaVPn95i+Y0bNyyG3nmSGx8AAODZIHALAICVcnJyUvv27TVx4kRJlhf7TZo0STSg9uGHH2rRokU6cOCAJGnSpEnavXu3GjduLHt7e23YsEF//fWXkd7Pz89ibMeAgABVqFDBYozY5s2b6+DBgzp48KDFttq2bftEAQ1vb2+tXbtWd+7cUZYsWRI8wpuYggULGuOLTpkyRba2tnJ1ddVvv/2W7PiM3bp10+XLlyWZe/rt2rVLtWvX1q5du+Tv76+3335b69ate6Y95o4cOaIWLVqoTJkyqlq1qrJkyaLAwEBt2bJFO3bsMNK5u7urRo0axvujR4+qW7duypMnj+rVq6ccOXLo6tWrmjt3rkVvue7du6e6/s+izKpVqxqB2/3796tNmzYJ0syfP9/oNX706FGLdSNHjjQCS+3atTOCk0OGDFGTJk0kSdu2bVPDhg1VrVo1/fHHH7p06ZIkc+B4wIABFuVly5ZNZ86ckWQOtrq4uMjd3V158+ZVixYtUrVPj+Nx21Dv3r01adIkBQYGKigoSNWrV1e7du107NgxLViwwMgzcOBA2dnZWexnrH379qlPnz7KkSOHHB0dUxwz+mk5evSoKleurMaNG+vIkSNasmSJsa5WrVrKly+fJHOv+kmTJiksLEx3795VqVKl1Lp1a+XIkUPBwcE6duyYNm/erICAAJ0/f16enp6prkPv3r31008/KTQ0VJL0xhtvaP78+SpVqpTu3bunzZs3q1atWho3bpxsbW3Vr18/4ybXggULdO7cOdWtW1fu7u66ceOG9u7dq127dqlatWpP5Xh5Fsejl5eXOnfubIwnPHr0aO3du1dVqlSRs7Ozrl69qp07d+rAgQPq2LGj6tevb5F/7969xuucOXMqZ86cj7l3AADgmXles6IBAICU7d6922I28di/FStWJJnnxo0bplq1aiWaL/5fyZIlTWfPnrXI++is6cn9pXYG8mHDhlnkCwoKSjb9o3WYNm2asW7u3LmJ1iVLliymunXrGu9r1qxp5Pn111+N5Q4ODqZ9+/aZTCaT6eTJkyZXV1dj3ejRo1O1P49r6dKlKX6mrq6upuXLl1vk69OnT4r52rRpY4qMjLTIF/9zz5Ur11MpMznTpk0z8taoUSPRNB07dkzVsRX/f24ymUxDhgxJMq2tra1pypQpCbY1fvz4RNM3btzYSJMrVy5j+bBhw1L9+SXnSdrQH3/8YXJyckoyfceOHU0xMTEWeQ4cOGCytbVNkNbNzS3Rzz1+2zCZTKZNmzZZ5Dt//nyq9jN+noYNG5psbGwS1MHLy8t0/Phxi3xLly41ubm5pfjZxK9HzZo1LT6DpKxcudLk7u6eZJl9+vQx0kZHR5s6dOiQYj3if16P/m8f/f8lV88nOR6T+x89ePDAVKdOnRT3I7HPbdCgQcb6Ll26JPm5AgCA5yfueTIAAGB1ypcvn2DCo8yZMyc7EVamTJm0ceNGLV++XG3btpWfn59cXFzk5OSkbNmyqVmzZpo9e7b27t37n3s0tl27dlqwYIFKliwpBwcHeXt7q23bttq5c2eiQx2cOXPGotfh4MGDVaZMGUlSgQIF9PXXXxvrPvvsM+3fv/+Z1b18+fIaOnSoXn31VeXMmVOurq6yt7eXt7e3KleurMGDB+vkyZNq2rSpRb6BAwdq8uTJatq0qQoUKKAMGTLIwcFBWbJkUZMmTbRkyRLNnz9f9vapf5DqWZTZunVrubu7S5K2bt2aYJzTJzFixAitXbtWjRs3lo+Pj1HXNm3aaNeuXeratWuCPB988IGGDx+uPHnypGk/nqfGjRvr0KFDeuedd4xes56ennr11Vc1f/58TZ8+PUEP6FKlSmnu3LkqU6aMxZAn/6Y2bdpo7dq1ql69utzc3JQhQwa1bNlSO3bsSDCpV/PmzXXkyBH169dPxYsXV7p06WRnZ2e0g/79+2vbtm1JjiubnEaNGuno0aPq37+/SpQooXTp0snBwUFZs2ZV48aN1ahRIyOtra2tZs6cqZUrV6pVq1bKnj27HB0d5eTkpFy5cqlJkyYaN26c5s6d+6Qfj6Rndzy6urpqzZo1mjNnjho1aqRMmTLJ3t5eLi4uyps3r15//XX9/PPPGjt2bIK8ixYtMl4/rfHLAQDA02VjMjGVKAAAAJ7cBx98YAztMWHChFRNOIf/pvgB5GnTpj322M94Pg4cOGDcxCpWrJgOHz78nGsEAAASQ49bAAAAPBUDBw40en3+8MMPxmRwAKzL+PHjjdfxxzkHAADWhcAtAAAAnors2bMbQ1OcOnXKYpIqANbh6tWrmjNnjiSpYsWKz3SyPgAA8GQYKgEAAABAmjBUAgAAwLP335ipAQAAAIDVoO8HAADAs8dQCQAAAAAAAABgZQjcAgAAAAAAAICVIXALAAAAAAAAAFaGwC0AAAAAAAAAWBkCtwAAAAAAAABgZQjcAgAAAAAAAICVIXALAAAAAAAAAFaGwC0AAAAAAAAAWBkCtwAAAAAAAABgZQjcAgAAAAAAAICVIXALAAAAAAAAAFaGwC0AAAAAAAAAWBkCtwAAAAAAAABgZQjcAgAAAAAAAICVIXALAAAAAAAAAFaGwC0AAAAAAAAAWBkCtwAAAAAAAABgZQjcAgAAAAAAAICVIXALAAAAAAAAAFaGwC0AAAAAAAAAWBkCtwAAAAAAAABgZexTmzD4QYjCwiKeZV2A/4zomGjZ2do972oAzx1tAYhDewDi0B6AOLQHwIy2AMRxdnZUOjfXFNOlKnAb/CBEC3/foJjo6CeuGPAiMEmyed6VAKwAbQGIQ3sA4tAegDi0B8CMtgDEsbWzU+umtVMM3qYqcBsWFqGY6GjdyVlakc7pnkoFgf8q58Bb8rxxkvaAlx5tAYhDewDi0B6AOLQHwIy2AMRxCAuWz6UDCguLeDqB21iRzukU4erxJHUD/vPsw4Il0R4A2gIQh/YAxKE9AHFoD4AZbQF4PExOBgAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGXsn3cFXlaRYaEaWyurIh4ESZKylaigzrO3P+daAWYz33lVF/f+JUnqteasPLLmslh/fP1SLerbWpJU4a3eqv/p2H+9jo9aPrizDv0+02KZnYOjPLLlVtGGbVS1y6eyd3J+TrUDEsdxCyQusbYRX6/VZ+SRzS9VZU2on1f3r11UrnI19Pa0jU+phsCzc+PkP9oz+wdd3LNFQbevydbeQekyZlHmQqVU8JWmKtao3b9aH9oQ0uppfoc/TQFXL+j7BvkkSTW6D1HNHsMkSZ8XN4dFSjR9W82+nPpMt//P8hmSpIKvNlPmQqWe2bZgfa4e2qW/Jn2hmyf/Uci9O3JO76kMWXIoc6HSqtVrhNy8Mj7vKiYrqfaDZ48et8/J6b/+NIK2knT10G4FXL3w/CoExFOkQRvj9fF1ixOsP752kfG6aLy01iY6MkL+F07qr58+1/zeLZ53dYBU4bgFgJfX7tnf65e2FXRw6TTdu3JOUeFhingQpLsXTunY6gVaNqjj864igMcUcO2C/vrpc/310+e6eeKf510d/IvO79ygaW/X0Jm/Vyno1jVFR0bogf9NXTuyV/sXTdED/5vPu4qwYvS4fU6OrV6QYNnRVfNVteunz6E2gKXCdVtpzVcfKiYqSsfWLFTljv2MdVHhYTq9ZaUkySObn7KXrPTE24sMC5WDs8sTlxOrw9T1ylWupm6cOKi57zfWg7u3dG77Ol3YvUl+FV55attJiclkUnREOD0mkSrWcNxyzMIadZi6Xn7laz12/t5rzqY67dM+HwFpcfqvlVrzVV9Jkr2Ts2r3/UpF6reWSwYvBd68ogu7NurAkmfXGxB4Fp70Oxx4EeyYPlam6Gg5uWfQGxP/UOYiZRRy97ZunDyoo3/Ol52j0/OuYrIiw0Llkc1PQw5HPZOy+e2VPAK3z0FESLBO//2nJClPlbq6deqwgu/c0NHVCywCtyEB/loz6kOd2rxC9s4uKtXiHXlmz6OV/3tfkuVJMDw4UH//PFInNy7X/WsX5eDsqhxlqqpmj2HKUqTMv76P+G9z88oovwqv6Nz2dbp2eI8Crl00hks4s3W1IkKCJUlF6rc28hxbs0i753yvmycPKToyQt5+BVW2TTeVbfOebGxsJElbJv5Pf/30uSSpw6/rtHPGd7qwZ4v8Kr6iW6cO6/61i8peqrLe+e1vo9ydM77Tum/7S5K6zNuprEXLpWofbGxslKVwaRVt2Fa7Z38vSbp2dJ8RALt6eLf+/nmkrhzcofDgQKXPlE0FajVRje5D5JLByygnLOi+/p78hU5uWK7Am1fk4OKm7CUqqlq3gcpRuqqRLv5jhGXbvq+/fvpcdy+dVqtv56tQ7WZp+wfgpZXcccsxC8QJCwzQqi976frxAwq+c12RoQ/kksHb+O3jm6+okTaxx7xjhwTKkDWXmvzvZ60fO1C3zxxR7b6jVLFDn+e1W3jJbf5huPG6zkejVb59D+O9Z/bc8szeRaVbdTGWpfb7XpKO/DlPe+b8oJunDssUEy2vnPlVstnbqvBWb9na2Rnpjq5eqM0/DtP9axeVqWAJ1f/0u2e3w3hpRYQ80M+vl9G9y2flmSOv3ltyUA7OLjq58Xct6NNSklSr5/9U/b3BkqR7l89p65RROrdjvYLv3JCzewZlLlxaDT/7QV458kqS/C+e1t+Tv9T5nRsUcu+O3LwyKl/1RqrV839K55PpseqZ1uubjtM3adesCTq7ba2c3T1UoulbqtVzhGzt7BIMH/H7kC76fYi5PT+voSPw77l39bwkKZ1PFmUrWUk2NjZKnzm70mfOrgI1XzPSxf99Ev/Gc2LDecT/fVPhrT7a/MMw3b10Wp458urV3l+o4KtNjfwmk0n7F/6sA4un6s754zKZTMpUoLgqduirog3irunjH6fvLtyrNV/11bUje1SmdTdVfKt3okMlmGJitHfeTzqwdJr8L5yUjY2NMuYtonJtu6tk846pKtsahl60ZgRun4OTG39XVFioJKlQ7ebKkCWXDiz+RTdP/qM7507IJ08hSdKifm10cc8WSeZg7/ZfR8vdN2uC8iJCgjX97Zq6dfqwsSw6MkKnt6zUuR3r9daUNcpZptq/sGd4kRRt0Ebntq+TZB4uIbbX7bE18YZJaNhWkrTlpxH6a+IIi/y3Th3Sqi966vbpo2r42fcJyl/Ur61C79+VJNnY2Kps627aOH6wrhzcoTvnT8ond0Fj25KUMV+xVAdt4zOZTAmWndm6WvN7tVBMVKSxLODqBe2e/b3ObFujLrO3yzm9h8KDAzX97Rq6feaokS46MkJntq7W2R3r1Pq7RSr4ShOLsm+ePKQln7wpJbJdILUePW45ZgFLYUEBOvLnXItlD/xv6sS6Jbq4e7O6Lz8iN2/fFMsJuXdbcz9oquiI8GdVVSBVgu/c1I3jByRJjq7pVLZ1t2TTp+X7ftP3Q7X155EW+W+dPqx13/bXlUO79PqYeZKkC3s2a8knbxjng2uH92h2twZPbR+BWI6ubmr25VTN6PSK7l0+q79+GqGqXQdo1Zc9JZnnf6nadYAk6dbpI5resabCg+4b+UPu3dG57esUeOOyvHLk1c1ThzWjY02FBwcaaYJuXdOBxb/o3I516jJ3Z5rHD32c65t5vZob9YwMfaBtv3wtj6x+KtP63TRtGy+e9L5ZdffCKfmfP6FJzUsof42GylGmunKVqyFn9wxPVPbNU4e1qF9rmWJiJEl3zh7Twn6t9eakP5W7Um1J0oohXY3xlWNdPbRbS/q31/3rF1XlnY8TlDuraz3jej05ywe/o8N/zLZYdu3IXv1+pItunzumOv2+fuyyYcYYt8/B0TUPh0mwsVGBWk1U4JW4OyxHV8+XZB4DJTZom71UZX248bLeXbQv0SDUrt/G69bpw7Kxs1PrcYs1cN8D9fjjuLxy5lN0RLjWjk7YCIGUFKrdQnYOjpKkY2sWSno4TMJf5mESvHMXUuZCpRRw9YL+nvylJKlk807qt+W6Ptl5T+XamXuJ7J3/k26dPpKgfOf0nuo6b5cG7A5U7b6jVKplZ+MRkYNLp0mSAm9e1ZVDu8xlN+uQ5n24ceKg0aYkKUuRMjKZTFr9ZW/FREXK3slZb0xaqf7b/VXxrd6SpLsXTmn79G8lmdtW7AVRuXY91H/bHb31y1rZO7vIFB2t1V/2Mk6QscKCAlS6ZWf123JdfTddeSpDSeDlkuC4LVyaYxYvtd8619Hnxe2Nv59fLyvn9J56/buF6rPuggbue6BPd93Xa8MnS5JC799NENRNSmRoiPJUqq0+6y7o4623VKhuy2e5K0CS7l+/aLz2yJ5Htvbm/jXBd25YHP+fF7fXvgWTU/19f+/KeW371XzR7JUrv7ovP6K+m64YnTqOr11k3Kjf8sNwc9DWxkatvp2nT3bcVdm27xtPWgGPI7HvcEnKUbqqKj3sGLJz5nda/FFbBd26JntnFzX7crrRE3zt1/2MYGjFDn3Ub/M1ffTXDTUbOV2unuZg7LrRHyk8OFAZsubSuwv3auC+B3rrl7WytbfX/WsXtWPaN2mq8+Ne33jlzK/ea8+p64I9xrBTxx7ODdLsy6nqMHW9kbbp579qyOEoDTkcRW/bl0DssSNJd84d147pY7WgdwuNrZVVq0d9qOjIiMcuOyzwnmr3HaVPdt5Ts5Hm4KwpOlqbfzD3iL20f6sRtK327kB9suOuPvr7pgrWbi5J2vLjcIUE+Cco1zNHHvVYcUyf7Lyn8m98kOi2L+79ywjaZi9ZSX3WX9QHK0/IO7e5M+KO6WN15/zJxyobcQjc/svCAgN0bttaSVLWYuXk7ptVeSrVkYOLmyTz40mSdPngDiNPtXcHyj1jFmUuWFKlWryToMwzf6+SZG6cCz9spVFl3TTxtcK6e+mMJOn60b0Wdx+B1HBO76E8VetJkjFcwpmta4xJ9WIfqTi3fZ1M0dGSpH+WTdfYmlk0upKn9s6baJR1YffmBOXX6jVCWYqWlYOLq3xyF5SbV0Zj6IXDK2YpJipKJ9YvkUwm2djZqfhrb6a67rE/EKe0LqeQu7clSX4Vasmvwivyv3BK966ckyTlr9FYeavWl7N7Br3S+wvZ2jtIks5uNbfRM1tXS5JsbG316odfyjm9h3JXfFWFapsnjAq8eUW34vV0kSRndw81GDhebl4Zlc4n82M/moWXT1LHrXum7ByzwCOc3TPo/tULmt+7hb6t5quvK2bQH8PfM9b7XziVuoJsbNR4+GSlz5xdLhm8lCFzjmdUYyD1Yh/BTk5qv+/j/06r8GYv+eQppHQ+mVX9/c+Mss5uW6OY6GjjZnnWYuVUpP7rckqXXjV7DDNu5ANP2yu9Rsg3f3HFREXp3A5zULP2h6Pk7VdAknnsywt7zZ2ZvP0Kqm7/b+Xm7StXTx+VaPKWfPMVVWRoiJHm/rWLmtK6nEaVddOsrvUUE2Uej/P8rs1pqtfjXt/U7DFUGbLkVJbCpeVboLi5Tjcup2nbeDEVrttSbb9fqqzFy1ssj44I1545P2jrL189dtnpM2VXpY795OTmrhJN3lSWh0+pXj28W5GhIUa8SJK2Thml0ZW9NKZ6Jp3csEySuXPWlYPbE5Rbf8A4efsVkJObuzEkyaNiz0WSVK3bQKXPlE1eOfOpckfzeO0ymYybg2ktG3EYKuFfdmLDUuNuSpYiZY07dVmKlNGlfX/L//wJ3ThxUMG3rxt50mfKnujrWCH37qS43dDAe3JKl/5Jq4+XTNH6bXR68x+SzEMW3Dh2IG5dA/MwCQ/u3U6xnNDAhI9BZCpYIsGy8u266/CKWQq+c0On/16l42vNwyTkrVJP6Xwyp7n+dg6OypA1lwrXa6Xq7w6SjY2NQgPi2kv6zHHtycHFVa4e3gq+c0MhD/cp9OGdR6d0GeTk5p5ovpBH9t/LLz8TO+GJPHrc3jgR1+44ZvEySmxim50zxxnjnycm8uGQVClx88wo94xZnqR6wFORIUtO4/W9K+cUExUlW3t7pfPJrCGHo/TPshnGeJhS6r/vQyx+9+RI9PWDe3cUcu+OMRyPu282Y52Ds4tcMngp+M6Np7GbeAklNzmZnYOjyrbpplVf9pIkObi4WYyJGXr/rhFA9fYrkOhNjdDAe0aapIQlci2SnMe9vvHKld94be9o/m3FUDyIVaBWExWo1URBt67pwp4t+mfZdJ3fuUGSdGrTCtXsPjTRfDEpHN/umbJZtI30mbLp+tG9MsXEKDTwXuriRffvJViWqWDJlPPF66mbPlP8c0zS1x6pLRtxCNz+y46uXmC83jd/kvbNn5Qwzar5ShfvIiLo9jUjyBWYyB07V08f3b10Ro6u6fTx1tuyc3CwWG8ymVJ15x54VMFXm8re2UVRYaE6/Mcc3btsHiA9U8GSxljMbp5x40W1GD1bxR6OexsrqePPwSnhzJHZSlRUliJldf3YPm3/9WtdPbxbklSyWccEaZOT3A9EFw8f43XgzavG68iwUOMREVdPn4dpvaVLZxQefF8RIcFydE1nznfjipHPNV55Se0XkBpJHbccs0BCxx8+emrv5Ky3p21UliJldefccU1uWSpN5dgzizGsRDqfzMpUqJRunjioiAdB+uf3mSrdsnOS6VP7fR//Oz/oZty6+NcUrh7ecvX0ka29g2KiIhV0K+5cExUexjiEeGYe3L1tTOwlmceFXT/mUzUeau7Z6pLBSzZ2djJFR8v/wqlEryvip8lbtZ7emPRngu0kNtxgch73+sbOPu46PLH1NuKa/GUV/iDIuMnm7ptVxRu3V9EGbTSmRmaFBd4zvmdjhw6MCg8z8gY8nNgsKUHxrg+kuOsFG1tbuaT3NK4TJOmdWVsTDIuW5PV6Kn4juXh4x9vulXhxq3jnIk+fBPlSUzbiMFTCv+jB3du6sHtTiumOrVmonGXiZoLdPvUbPfC/pZsnDxljf8aXt5p50oCIkGCt+rKXgu/cVFR4mK4fP6AN4wZp7df9nt5O4KXi6JpO+as3kiTjQkIyT1wWK0+VurJ5OAbVlon/07WjexUdGaHAG1d0cOk0TWmdtgnFyrXrLkm68s9OmWJi5JzeUwUemUzpSXj7FZBHttySpNNb/tC5HesVHhyozd8PMXqa5H04RETeavUlmWfK3Dj+M4UF3deF3Zt0cuMySeYe8L75iz21ugGJ4ZgFEoqKeDgWnI2NHN3cFRYUoC0/jUg+E2DlYmfolszjeh5cOk1hgQGKDAvV/euXLNKm9vs+T+U6srE1X/Ltnv2D/C+cUvCdGxaTleWtVl+2dnbKXqKiJPOkMsfWLDKfa34c/kRjLwLJWTmiux7cvSWndOlVtu37kqT9C3/W2W1rJJmDO7E3tf0vnNSGsZ/qwd3bCgnw1+GVc3XrzFE5OLsoV7kakqSz29dp/8IpCn8QpPAHQTq/a6OWDeyow3/MSVO9nvb1TSzn9J7G69vnjqXYkxIvjvk9m2nFsG46v2ujwoLuKyo8TCc3LldYUIAkGRNzxz4N8cD/pq4f26+Y6Gj9NemLZMsOvHlFO2d8p/AHQTq0YrauH90rScpWvIIcXFyVr1rcJJPrvvlYt88dV3RkhO5dPqfds3/QrHfrPfZ+5ata33i97ZevFHjzqu5dPqedM8eZF9rYKE/luo9dPszocfsvOr5usTHOTs0ew1Sj+xCL9Qv6tNLJjcsVcPWC7J1c5Fehli7s3qyLe7ZobK2skmTREzf2jl3FDn10fO1i3Tp9WAcW/6IDi3+xKLdE07ef5W7hBVekQRsdX7fYYlnReHedPbL5qfp7g/XXxBG6e+GUfm33ZBMbFW3YVuvHfGLcdSzasK3sH955fBpsbGzUYNB4LejTUlHhYQlmS/bKmU+VO5kn9Kv4Vh8dXbVA/udPaM+cH7Rnzg9x5djZqf7A8cbFEPCscMwCCRWo1Vg3ju9XVFioJjUzjyPoyRhp+I8r+EoT1e47ShvGDVJESLBWDH1XK4YmPht9ar/vPXPkUZXO/bXtl6/lf+GkJjYpYlFOoTotlLeK+aK9Zs/h+q1LXclk0uKP20ky92p3cHFVZGjIM9prvOh+61wnwbIOU9cr8MYVY4zNOv2+VsnmnXTl4A7dPPmPVgztpveX/iPn9B6q98kYTe9YU+FB97Vj+ljtmD7WohxJqtd/jGZ0qqXw4ECtHNFdK0d0t9he7oqvpqnOT/v6JpZXznxyTu+psMB72jFtjHZMGyN332z6cMPFlDPjPy0qIkwHl0zVwSVTE6yzsbU1JuorUq+VkebX9pVSNZyZq6ePNowbaDGElI2trWr1/J8kKWfZ6irZrKP+WT5DV/7ZafxuipUha67H3q9c5WuqaMN2Orpqni4f2K7xdSzLqtShj/GkLh4fV2//omPxhklIbKKlYo3aG6+Prl6gVmPmq2jDdnJwcZOrp48qdexrMeOecwYvSZKTm7s6zdyiKp37y8uvgOwcHOXs7iHfAiVUsUMfVXr7w2e3U3jh5a/RSI7xxk7LVqJCgplPa3YfqlbfzlPOMtXk6OYueydneWbPo0J1W6r5V7+laXsOzi4WY1uVbPb0bzzkr9FIHadtUv6ajeWc3lO29vbKkCWnyrf/QO/M2iqXDOa74c7uGfTOb3+rYoc+8siWW7b2DnJ291DeqvXU4Zd1KlS72VOvG5AYjlnAUtWuA1Txrd5y8/KVo2s6Fa7bSi1Hz3re1QKeWJXO/dV59jYVa9Re6TNll629g+ydXeSZI6+KNGij5qNmqmSzjmn6vn+1z5dqNnK6spUw976yc3RSxnzFVLvfV2r1zVwjnV/5Wmo5era8cuWXnYOjshQpqzcm/SnXeI+NA09D4I2rWjPqQ0nmiVhLv95Vdg4OavL5L7K1t1fQrataNbK3JMk3fzG9O3+PSjbvZLQJFw9v5alcx+idmKlgCXWZt0vFm7wld9+ssrW3l5t3JmUvVVmv9PnC6KGeFk/z+iaWg4urmo+aroz5ijLp30umVs8RKtv2fWUqWFKuXhlla28vlwxeylu1nt6cvEp5KptvcOStWl/1Ph0rj2y5ZefgqKzFyqvjtOSf2s6Yt4jajF8i3/zFZefgKJ88hfX62IXKXam2kabJ57+o0ZCJylqsnBxcXOXg4iqvXPlVvMlbavTZD8mUnrIWX81UvU/HKlPBkrJ3cpa9s4uyFC2nJiOmqG7/b5+obJjZmFIx4Msd/wAtX7VZ1wtUV4Srx79QLUjStSN7lD5zDmNSpntXzmtO98a6e+GU3Lx89eHGy7J9+AgH/j2ud68o46UDtIdnyPxI02z55i+u95YcSDkDngvaAhCH9gDEoT0AcWgPgBlt4emaUD+v7l+7qFzlaujtaRufd3WQRo4hAcpy6m81a1hLPt4eyaZlqAQrdmDJNO1f+LN5sgA7ewX735RMJtnY2qr+wHEEbfHCWTaok87v3KDg29clSVW6fPKcawQAAAAAAPB8ELi1Yn4VXtHNk//I/8IphQUFyM0zo7KXqqxKHfsqZ5lqz7t6wFMXeP2Sgm9fV7qMWVS+fQ8Vb9w+5UwAAAAAAAAvIAK3Vqxog9Yq2qD1864G8K/hEQ8AAAAAAJLXe83Z510F/EuYnAwAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMgRuAQAAAAAAAMDKELgFAAAAAAAAACtD4BYAAAAAAAAArAyBWwAAAAAAAACwMvZpSewceEv2YcHPqi7Af4LTg7uSaA8AbQGIQ3sA4tAegDi0B8CMtgDEsY8ISXVaG5PJZEop0c3b/vpjzd9PVCkAAAAAAAAAgPRa/erKlNE72TSp6nFrZ2snSXIoW1q27umevGbAf1j0zVuKOn5SFcsVV3raA15i12/c1pHjZ2gLgGgPQHy0ByAO7QEwoy0AcQKDgrVr72Ej3pqcNA2VYOueTrYeHo9bL+CFEBNkfqwjvXs6eXmkf861AZ6fQNoCYKA9AHFoD0Ac2gNgRlsAHg+TkwEAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3AIAAAAAAACAlSFwCwAAAAAAAABWhsAtAAAAAAAAAFgZArcAAAAAAAAAYGUI3CbhyoljetvLRW+62+tNd3ut/3VygjQH1/yp4XWqq3Om9OqS1VOjmjXQ6d07H2t7C/73mbGtN93tFREWZrH+2qmTmvB2O72XK5M6+bjpk/IltOqHcYqJiUn1Nsa2a6k33e01e1B/Y9mk9zpbbPfwxnUWeW5fvKC30jsY64e+UsVYt2bSD3rT3V6Dq5WXyWR6rP3Gf8vSJUvUtm1rFSyQT5l8fVSlckXNnDkjyf//ihW/yz2dqyqUL5di2Zs2bVSnjm+raJFC8s3orXJly2jcuO8UGRmZYt7z58/r9ddbqmCBfPLx9lT+fHnU4a03dfr06QRpT548qaZNXlMmXx/lzeOnzz4brIiIiBS3UbRIIbmnc03wF/ZIW8WLa/XqVWra5DXlz5dH3l4e8s3orfLlyup/w4cpODg4Qfo1a1arTp1XlcnXR1mzZFKzpk20e/fuVG1r5JdfJHq8uadz1aef9E+5AEmzZ89S/Xp1lTePn7w8MyhzpoyqWqWSxo4do6ioKIu0SR3f7ulcdejQP8lu5++//koyb+zfxYsXU1Vn/HetWbNaDerXk1+unPL28lDxYkU0YMCnun//vpHmvfe6JXp8rFu3Ntmyk2sPfXr3SlM9P/2kv9zTueqjfn0TrHvc80PXLp1VqmRxZfL1UY7sWVW/Xl1t2LA+TfXCiys4OFgFC+STezpX7d+/z2LdjBnTVapUCfl4e6pypYpaterPFMvbt2+vmjZ5TXnz+Mnby0OFCxVQjx7v6/r1a2muW3LtQTKfR6pWqSQfb0/lyplDLVs0U2hoaJLlXbx4Mcm26uPtmeb64cWTXHsICAhQ/48/Uv58eeTj7akSxYtqwoTxyZb3pOeHxPLlzeNnkWbWrN8STTd06JBU7fO1a1fVrdu78suVUxl9vFS2TGnNnz8vVXmB1Bx/DRvUTzTNyZMnU7WN1atXqXbtV4zfMY0aNtDVq1ee1S7hMdg/7wpYq+n9eik6mYDR9oXzNLFLB4uA1ZGN63Vy29/6dNkqFa5WI9Xbun76lFZOGJvk+qsnjmt4nWoKiXfxc/XEMc0a+LGunTqpLhN+SnEbp3ft0L6Vv8vOwUENe36YZLrNM6ep+Kt1472fmmRQrtbbnbVk1Oe68M8B7VyyUJVbtUmxHvhv+/6HCcqVM5dGjvxKPj4+2rhpo3r1/EBXr1zRwEGDLdKGhoZq4IBP5evrm6qyp/76q0JCQzT4syHKkT2Hdu/ZrZFffqETJ45r0qSfk8374EGwMmXKpFb/G6Hs2bLrxo0bGjPmWzVu1EDbd+ySj4+PJOnevXt6rXFD5c2bT7PnzNW1a9c0aOAAhYaEaMzY71KsY/PmLdSrdx+LZU5OTqnaP/z37d61S5s2bbRYduLEcZ04cVz//HNQS5YuN5YvXLBAXbq8Y/H9uXHjBm3btlXLlq9QtWrVnnl9N23cqO3btxnvIyMjdejQIR06dEiXLl7UuPETnnkdJMnGxkaurq7/yrbw/Ny7d0/lypdX9+495OXlpWPHjmrkyJE6fuyYlv++wkiXO3du/fLrNIu8BQsWTLbsjp06qU7dehbLtm3bqqFDPlPdevWSyJXQ0SNH9NtvM5U+ffpE6/+454eIiAj17NlLefPlU1hYmGbOmKFWLVto5Z+rVbVq1VTXDy+mr7/+KsHNMklatHChevX8QP37f6KaNWtp8eJFeqN9O61Zu14VKlRIsryAgAAVKFBAHTt2kq+vr85fOK+vvxql/fv2a8tff6f6d0ly7UGSvhn9tb77bqw++ri/KlaoKH9/f23evEnR0dFJlpk5c2Zt2LjZYpnJZFLLFs1Uo0bNVNULL7ak2sODBw/UqGF92dvb66uvRsvX11enz5xWUFBQsuU9jfPD++93V+s2bY33jo4OiaZbumy50qfPYLzPmjVrimXfuHFdtV99RfnzF9CE779Xevf0On78uMLDw1NVNyBWSsdfpcqV9eWXoyyW5cqVK8Vy582bqw96dFev3r01bOhwBQUHafv27QoL4xi1JgRuE7Ft/hwd/3uLnNzcFP7gQYL1EaGhmvFxH5lMJnnnyKlBK9Yq5H6ARjWtr5D79zWtb0+N3nMo1dub/nFvRUVEJLm9Bf/7TCH378vGxkb95i1R4eq1NGvgx9o841dtnDZFNd58W/krVk52G6t+NN+tLFG7nryyZksy3b4/liv47l2l8/JSTHS0/po9M8m0Tq6uqtjidW34dbJW/ziewO1LYMGCRUYQVJJq1qqlu/7++uGH7/XpgIGytY3rxD/m22+UPXsO5fLz04H9+1Ms+7tx4y3Krl6jhmJiYvT5iP/piy9GWqx7VLFixfXjj5Y3MEqXKaPSpUpo48YNavPwx9ivv/6ioKAgzZk7T15eXpKkqKgo9ev7oT7u319ZsiT/A8zX1zfZiym82MqWK6c5c+epfPnyypDBQxs3blDHtzsoPDxc69at0927d+Xl5aXQ0FB9/PFHMplMypEjh1b88afu3w9Q0yav6f79++r7YR/t2bsv5Q1KqlatulatXvNY9a1dp47av/GGSpQoKVdXVy1cuEC9en4gSVq4cEGigdufJk3WW291SNN2qteooaDgEItlV69eUdEihRUdHa1XX62tjBkzPtY+4L+jXbv2Fu+r16ghRycn9e7VU9evXzO+X52dXdL8PZotW3Zly5bdYtmvv/4iT09P1atXP9XlfPRRP33wQU/NmTM7wbonOT/M/G2Wxft69eqrWNHCmjd3DoHbl9zJkyc15efJGjlylPr06W2x7suRX+j111tryNBhkqQaNWvqyNEj+vqrkVq8ZFmSZdauXUe1a9cx3levUUPZs2dXs6ZNdODAAVWqVClVdUuuPZw6dUojR36p+QsWWrSxZs2bJ1umk5NTgvb9919/KTAw0PgthpdXcu1h7JhvFRwcrB07d8vNzU2S+dhOydM4P2TPkSNV56VSpUonez2SmCGffaZs2bNr6bLlsrOzkyTVeuWVNJUBSCkffxkyZEjz76u7d+/qo3599fXXo9X13W7G8saNX0s236xZv2nUyC919NiJNG0Pj4+hEh4REhioOYM/kaOLixr37pdomn/WrlbwXX9JUp0u7ylz3nzKU6acKrU0By6vnjimC/8cSNX2di5ZqCMb16tE3frKU7psommO/b1ZkpQlf0GVadRELu7uqvdeD2P91vlzkt3Gg3v3tG/l75KkCs1bJZnOO0dORYaHa+t88w+4f9at1t2rV+SdI2eSeSo0bylJOrNnl66dSl1XfPx3JXayKFmypAIDA/Ug3k2Hc+fO6fvvJ+ibb7994rJNJpNu3riR5rrGXnjHf8x13dq1qvXKK8Y6SWrZspViYmK0YcOGNG8DL5fGjV9TkyZNlTlzFrm4uKhx49dUuHBhY72Dg7mHxtq1a3T34TmiS9d3lTdvXpUpU1YtW5q/f2N76D5r7du/odq16yhjxoxyc3NTp07vyPPhsW9vn3hvkqdl2tSpRq+sru+++0y3BesV9z2c8pA3aREWFqY/VvyuZs2ay9HRMVV55s+fp4sXL6hvv48SXf80zw92dnbKkMFDEakY6gcvtv4ff6TOXboqf/4CFsvPnz+vM6dPq0XLlhbLX2/VWps3b05zb7zY4zYyFUN7SCm3h1mzflMuP7803RhJyoIF85U+fXo1bNToicvCf1tS7UEyDxvSocPbRtD2cT3O+eFZCQwM1JIli/Xuu92MoC1gTZYuWazo6Gi93bHT864KUkDg9hGLvhimgJs31PTjAfLJ6ZdomvP/xPUezFqgULzXcY/6XTiYcuA2LDhYswZ+LAcnJ3X8JunxeyJTGEPzYgpB4hPbtyrq4Q+5/BWSvgtf862OkqQtM82PMG6a/qt5eYdOSebJV66ibB72sjyymcDXy2jHjh3KmjWr3N3djWWffPKx2rd/Q8WLl3iysrdvl5OTk3L5+aUqfUxMjCIjI3Xx4kV9/FE/Zc+eXU2aNDXWnzp1SgUKWD6S6+HhocyZM+vUqVMplr9gwXx5e3koc6aMatWyuY4eOZKm/cGLIzQ0VCtW/K7jx49LMvc2jG0D/xw8aKQrUCDu4qRAvMfBD8ZLk5z9+/cpa5ZM8vH2VMUK5fXjjz+kaWzzWEFBQZo69Vfdu3tXktS1a9dE0w0eNEhenhmUI3tWtWrZXLt27UrztqKiojRjxnRJUo4cOdSwIRfrL5Po6GiFhYXp4MED+vqrUWrUuLHFo3rnzp1VtqyZ5eWZQdWrVdGKFb+neRurV61KUw++oKAgfTZ4kL74YmSSw3Y86fnBZDIpKipK/v7+Gj9+nM6ePaPOnbukqn54MS1bulRHjx7RgAEDE6w79bCzw6PHXMFCBRUREaELFy6kWH50dLQiIiJ08uRJDfnsM5UqVUqVq1RJMV9q2sOe3btVtEhRjf76K+X2yyUvzwyqU+dV7dmTunHaY0VGRmr578v1WpOmcnZ2TlNevFiSaw8XL17UzZs35e3trTZtXpe3l4dy5simnj17JDqHQHLSen6QpDFjvpWnR3plz5ZFHd/uoMuXLyearkL5csqQPp2KFyuib7/9JtlhQyTz78GIiAg52DuoQf168vRIr7x5/DRkyGepmsMDiC+l42/b1q3K5OsjH29PNahfT1u3bk2xzN179qhAgQKaPXuWihQuKI8M7qpSuaLWrn28p/3w7BC4jefi4X+07ueJypw3v17r83GS6YLu3DFeu6SPC1a5uMeNEXX/9q0Ut7dk1Ajdu3ZVr/Xtr8x58yWZLufD4Nf10ye1f9UfCg0K0trJE431wQ8vxJNy4WGg2d7RUZnz5U8yXbkmzZXOy1uXjhzS/lV/6OCaP2Vja6taHd5JMo9zunTy9ctt3s6BlB+Hx4tl+/btWrRooXr3+dBY9uefK7V71y59NmToE5V95swZ/fTTRHXp0lXp0qVLVZ5u73aVl2cGFStaWPv27dXvK1YqQ4a4sYACAu5ZvI/l4eFpBLSS0qhRY307Zqx+X7FSY8Z+p7PnzqlevTo6f/582nYM/2k3b96QezpX+Wb01hvt2yk8PFwtW7bSxJ8mGWnuxDtHpI93Xoh/c+P27dup2l5ISIiCgoIUHh6uY8eOasCnn+jDRx4vTM7u3bvlns5VWbNkMibp+KBnL+PR3EfdveuvyMhIBQQEaO3atWrYIHU//OL7Y8UK3XjYS/6ddzrTy+QlU6RwQWX08VL1alWVOXNmTZ063VhXskRJjRw5SvPmLdCMmb/J29tHb7Rvp2VLl6ZpGwsWzFfWrFlVNZVjRY8c+aXy5MmrVq+/nmSaJzk/SObeYp4e6eWXK4e+GjVS02fMVMWKFVNVP7x4QkJCNHDgpxo2/H+JjiEbEBAgSfLwsDzmPDw8JJnHXE5Jgwb15O3loXJlSysw8L4WL14qe/uUR8FLTXu4efOmNm7coDlz5+i778Zp7rz5srGxUfNmTXX7VsrXOLHWrl2je3fvqk0bhlN7maXUHm7evClJGjx4kDw8PLV48VINGzZcy5YuNYZ4Sq20nh/av/Gmxo+boBV//Klhw4Zr27atqle3tkUbzJw5swYP/kw/T5miJUuXqV69+vp8xP/0Sf+k4wXx96tnzx4qXaaMli9foQ969tLEH3/QF198nqb9wssrNcdftWrV9PXob7Rk6XJNnjxFoaEhatqkcYodMG7dvKHTp0/ri89H6LMhQ7Vk6TLlzJVLbdu01vFjx4x0MTExioqKMv5iO5HEX5bY2NV4ehjj9iGTyaRpfXsqJjpaHceMl8NjTDgUfxIaGxubZNNeOX5UqydOkG/uPGr60YBk07YcMETftm4mk8mkMW2aJ1hv55D8I6+BDwMEbh6eydbLwdFJ1dq9qdUTJ2jSe+8oOipKJerWl3f2HMmWn87LWzfPndX9WzeTTYcXy9WrV9SpYwfVqFFT3bubh+4ICwvTgE8/0aBBn6V5DKj4AgMD9eYb7ZUrl5+GDhtuLI+JibHobWhra2sxru5nQ4aqe48eunL5in788Qc1bdJYa9dtUI4cyR/DqfHNt2OM11WrVlXt2rVVtkxpTRg/Tt+NS37GW7zYlixZLAcHB/3y69Rk06XlHFGqdGlNnz5TlatUNsbT7dL5HYWGhmr69Gnq2+8j5c6d+7Hq++MP38vVxcWibXXu0lVVq1ZTkSJFFBYaqi+//EJTp/6qyMhIffnF52kaZ/eXX6ZIMg8d0ZFHr146i5cs1YMHITp+/Ji+Gf212rR+Xb+v+EN2dnbq8YHlBXjjxq+pdu1X9MUXn6t5ixapKt98U2GNur33vsX3v8lksuh9Ent+OH7smKb8PFkbN21+KvuXlNdea6ISJUrI399fS5cuUce3O2jO3HlP5VFz/PeMHv2VfH191aHD289sGz/++JPu3w/QuXPn9N3YsWrS5DWtW79B6dOnf+L2EGOKUXBwsNbNmq1ixYpLksqXr6BiRQtr8uRJqb45v2D+fPn6+qpWLcb0fJml1B5if9vny5dPP/9s/g1R65VXZGdvr149P9DQYcNT9ZsnrecHScb2JHPwq3KVKqpWtYr5t1Zf87CJderUVZ06cZN3165dR84uLvrxh+/V/5NPlDlzlsT3y2Ter1q1XtGoUV9JMo9lHRwUpAkTxmvAgIFycXFJcb/wckvN8Tf4syEWeRo0bKgK5ctq9Nejkh0zPSbGpODgYP3y61RjXNvq1WuodKkS+u67sfp5yi+SpK9GjdSoUSMT5Pf0sLwR8+icF3h66HH70NHNG3R61w7lK19R6TP66sKhg/K/cslYf/fqFV06eliS5B4vIBVyP9B4HRYcN+tleh/zRCx9iubVm+72xt8XDV+VJP0+5mtFR0Wp1tudde3UCV04dFBh8cYIvXzkkO5euypJKlW/kT5euFx5y5WXg5OTPLNkVZ13uyudl7ckySu75YDsT6JWx86SzOPiStIrHVN+zM9kSvtju/hvCwgIUMsWLeTl5a1Zs+cYP35+/PEH2dra6vXWrRUQEKCAgABFRkQoJiZGAQEBFuPNJiUiIkJvtG+ngIB7WrxkqcVYV1+NGilPj/TG31ePnED8/PxUtmw5NWveXMuW/67o6GiN+26ssd7Dw1OBgYF6VEDAPWPsz9TKnDmLKlWurIOpGBYFL45MmTIrKDhEN2/d0Z9/rla2bObJHufPn6cDD586iH/T4n7gfeN1/Mf9Urqx0ahRY7V6/XVlzZpNbm5uatKkqTH5k8lk0sED5uPuvfe6yT2dq8VffBUqVFBQcIiuXb+pOXPnGT1dxo4do1s34262ffTRx6pUqZLSp08v30yZNGbsd8YjtPv3p24iNcn8uPmWLZslSU2bNpNvpkypzosXQ7FixVWxYkV16vSO5s1foL/+2qIVvyc+HIKtra2aNWuukydPKDQ0NFXlL1++TOHh4Wrb1vIx2NmzZ1mcH7p3f1+SNGjQALVo0VI5c+YyzksxMTGKiIgwXktPfn7w8fFRmTJlVbduPU2cOEl169bTZ4MHp2qf8GK5dOmSvp8wQYMGf6b79+8rICBAwQ/M3/8Pgh8oODjY6Fl7/77lMRfbE9fT0zPF7RQoUEDly1dQ27bt9PvvK3T27BlNm2a+gfik7cHTw0NeXt5G0FYyj6NbokRJY4iglAQHB2vVqj/VqtXrPHnxEktLe6heo6ZF3tiA//Hjx5QaaT0/JKZYseLKn7+A8TsrKS1btlR0dLQOHUp6QvLY/apZM+F+hYeH69zZsynsEZC4lI4/Nzc31a/fQAcOHEy2nLhjtJaxzMHBQVWqVrNod+907qwtf/1t/A0cOEiZM2e2WLblr7+fdLeQDHrcPhQWbA6antmzS4Orlkuwfvk3o7Tu54macsVfuUuWMZZfPx03IVf8ybn8SpVOYXvmE9aC/32mBf/7LMH6oa9UUYMevdXha3PQqVT9RipVP26cwCsnjmn9lJ8kSUWq1UyQP770D2fzDr53VyaTKdmeXjmKFFO+8hV1Zs8upc/oqzKNmiRbthQ3VEMGXy7QXwahoaFq3bqVAgPva8PGTRaPlp46dUpnz55Vbr+EE9rlyJ5V48aNV5euSU9UFBMToy6d39HBgwe0Zs06ZX/kpsQ7nTurQcOGxvssWRK/wy1Jrq6uKliwkM6di/tRVKBAAZ06aTmJ3v3793Xjxg2LsUiBlLi6uqp6jRpq3ryFfvzxB0nS2TNnVbp0GZUsVcpId/r0aeN1/GOvVLw0iYmJibHoLSJZ9tJNqcfuo9zd3dWkSVPNmT1bf/yxQtHR0bpw8aJ8M2VKclux20jLtn79Ja7nSvzZafFyKlasuBwcHHT23NO7OF24YIEKFCiokiVLWSxv2LCRxUWDt7f55sipU6e0fv16zZs31yL99OnTNH36NO3dd0AFCxZ86ueH0qVLa926tWnOh/++ixcuKCIiQq+3aplgXaNGDVSufHljCJFTp05aHF+nTp6So6Njmp+o8M2USdmyZTMCQU/aHgoVLqxz5xIfCiosPPm5N2KtWPG7+TcjwyS81FLTHtasWSenZJ52DQ9L3WR9aT0/PGuFChVOdn1q2xLwrMSfZPlRYfHaXZYsWZUlS1bj/bFjx+To6KgyZco+0/ohDoHbx1CyXgOl8/JW8F1/rf91sio0b6WQ+wHauWSBJClboSLyK2kO3I4/+uQXKzfOntH5g/tVpHpNOadz1/kD+zT1Q/Pjhq4ZMqhGMpOHSZLfw0BzdGSkrp8+ZTGJWmKafjRAW36bphJ16sk+hWEYwoKDdfviBfN2SpdJNi3++6KiovT222/p5MmTWrtmnbJmzWaxvl+/j/TWm29ZLBs79ludPn1aP/00WfnyJz2WsyT16/uhVq36U8uW/a6ixYolWP/oSSM5gYGBOnLkiJo3b24sq1uvnsZ8+40CAgKMO4xLly6Rra2tateunapyY12/fk07d+wwekHixffBB93Vtk07FS5SRO7u7jpw4ICWL19mrPfL7SdJqlevvry8vHX3rr9+/WWKmjdvofv3A7RkyWJJ5h/ysRcVf//1lxo1aiBJ+mnSZL31VgdJUu3ar6hz5y6qV6+e3N3Ta8OG9Zo7d44k84z15cqXlyRNnvyzJk/+OUFdb968obFjxqhlq9dVoEABOTo6auvWv/X3339JMgdjc+Uy32D588+VWjB/vt59t5vKliun4KAgffnlF3rw8CmQSpUqG+XOmvWbur//3sN8q1W9Rg1jXUhIiObMmS1JKlKkqKqlcnw5vLj27NmjyMhI5fZLPAgVExOjZUuXqHDhIql6XPTGjev6+++/NGhQwp6s3t7e8vb2TrB82vSZCn9kktdOnd5WhQoV1aPHB8ZQOk/z/CBJO3Zsl18S+40XW/ESJfTnn6stlh06fEgDPv1E48dPUJmyZZU7d27ly59fy5Yu1WuvxXWSWLxkkWrVqiVHR8c0bfPKlSu6dOmS/B4GfJ+0PTRo0FCzfvtNhw79oxIlSkqS/P399c8/B/XBBz1TVaeFC+YrT548Kl++Qpr2BS+W1LQHR0dHvVq7trZs3mSRbuNG88TXJVO42S093vkhMYcO/aPTp0/prQ4dkk23aNEi2dnZqWTJkkmmyZkzp4oWLaZNmzfpvfe7G8s3btogFxeXFAO7QFJSOv4ePHig1atXqUzZ5OMzDRo21JdffqFNmzYaE3pHRERo29a/VbUqv+OtCYHbh8o1aabZQZYDKm+ZNUM/dzcPFfDOuB9Vp4v5YtXRxUUdvx2viV06yP/yJX1UqpCRx8HJSe9890OK2+s3b0mCZV80fFXHt5ovqqfdDpbjw9lX7167oh86vZEgvZ2Dg977aaoyZPRNdluFqlSTvaOjoiIidHr3zhQDt2UbN1HZxin3tJWkM3t2yvTwsapitdJ+YYP/lr4f9tHqVas0ctRXCgwK0u7dcbMLlyxZUgULFlTBgpbH16zZs3T16jWLAM+lS5dUonhRDRgwUAMGDpIkffPNaP366y/q82FfOTo5WZRdqFChRCcziDXyyy8UGBioSpUqy8fHRxcvXdSknyYqIiJcPeJdYHTp0lWTJ/2k9u3a6uP+/XXt2jUN+WywunTpahEQfq1xI12+fEn/HDoiyXwHf/XqVapXv76yZM6i8xfOa+yYb2VnZ6devfs85qeJ/5qZM2Zo5owZia5r1LixypUzB1NdXFz07bdj1KXLO7p8+bJKlYx71NTJySlVYyKfPnVKPZJ4lK9v334JeqM/KiwsXBMn/qiJE39MdP3773dXpkyZJZmHXli6dImWLk14XnJzc9P/RoxIsb6StGjRQuMx365du6YqD14cb7Rvp9JlyqhYsWJycXbR4SOHNX7cdypWrLhea9JEly5d0nvd3lXr1q2VJ09eBQQE6Jdfpmj//v2aNXuORVkeGdz1xptvauLESRbLFy1apJiYGLVOw2zhFSokDBo5Ozsra9asFuelxz0/rF69SnPnzFGDhg2VPVt23b13VwsXLND69es1bVri3xd4sXl4eFgcW/GVKl1apR4+lTdo4GB16fKOcufOrRo1amrx4kXau2ePVq9ZZ6RP7PdSn9695O3trdJlyihD+gw6ffqUvv9+gnx9ffX22x2TrVtq20OTJk1VtmxZdXjrTQ0dOlzOLs4aM+ZbOTo66d1ucU9T9OjxvubMnq2A+0EWZd6+fVubNm1Sv34fpfBp4UWX2vYwcOAg1an9qrp0fkdvvPmmzp45o+HDh6lt23bKkydPXHlP8fwwfvw4nT93TtWr11DGjBl17NgxffPN18qePbvFGP3NmzVVjZo1VbRoUUnSnytXatq0qerR4wPjt5SU8PwgSUOHDVO7tm306Sf9Vb9BA+3bt08Txo/Xhx/2tRgODkhKSsfftm3bNH78d2rSpKly5cyl6zeu6/sJ43Xz5k3N/G2WUU5i55NSpUqrWbPm6t2rl+7du6fMmTPr558n69atW+oTb/JxPH8Ebh9Tldbt5Jo+vZZ9M0qXDv8jGzs75StfUa8PHq78FSo91W15Z8uhkvUa6OI/BxV0118u7ulVqGp1Nft4gPKUSTisw6PcPD1V9rVm2rVkoXYvW6yabyX/oy4tdi0zX+jnr1ApxYAw/vti73wPGphwQr0jR48rV65cqSondpKA+BONbdxgLnv8uO80ftx3Fukf7dn3qJKlSumH77/X3Llz9eBBsLJmzaoqVatq5m+zLR439PT01Io//lT/jz9S+3ZtlS6du97u2EnD4k3SJEnR0dEWM2Pm8vPT9evX9eknn+j+/QBlyOChmjVravBnQ+Tn55eqfcZ/X48eH2j79m26eOmSAu/fl7u7uwoWKqTXW7VWl0cCla3btFH6DOn1zTejdfjQIdnZ2al8+Qoa/NmQRC+cHzX6m2/1++/LdfjQId28eVOOjo4qVqy43n23W6oeO/X09FTnzl20c+dOXbt2VUFBQcqQwUPFixfXG2++qfbt424GVqxQUQMHDtK69et04fwFBQTck4+Pj2rUqKlPBwxM9WPiscMkpEuXTu3aJ7zZiBdb2XLltGTxIn03doxiYmKUM2cuder0jnr3+VCOjo5Kly6d0mdIr9Gjv9bt27fl6Oio0qXLaMnSZRaTbkjm7+Do6ITj5y9cMF/lypWzuIh/Wh73/JA7dx6FR4Rr2NAh8vf3l7e3t4oVK6ZVq9aoWvXqT72eeHG0btNGIaEh+m7sGI0dO0b58xfQnLnzVLFiRSNNYr+XypYrp2nTpmrKlJ8VHh6u7NlzqF69+vr44/6p7lWYEltbWy1avFQDB3yqPn16KSIiQlWqVNWaNWstAlXR0TEWkz7FWrpksaKiotIURMPLrXTpMlq8eKmGDRuitm1ay8PDQ53e6Zzod/DTOj/kz59fy5cv05IlixUUFCQfHx/Vb9BAQ4cOM568kMxDrc2cOUPXrl5VTEyM8uXLr6+//kbvd+9uUd6j5wfJPGfBtGkz9PXXX+mXX6Yoc+bMGjT4M3300cepridebikdf5kzZ1ZkRIT+N3yY7t69Kzc3N1WoWFHjxk8wOpVIiZ9PJGnyz1M0fNhQDRs6VEFBgSpVurR+X7Ey0adf8fzYmOJPc52EO/4BWr5qs5xqVZdtvC8x/Hec3r1Tw2tXk52Dg8YdOSOvRx5xfxzhISHqXchPwffuqteMuarUsvVTqKn1i7p8RZH7DqjuK5Xl5ZF0L1DgRXfh8jXt2nuYtgCI9gDER3sA4tAeADPaAhDnbkCg1m3aoWYNa8nH2yPZtLbJrsULI3+FSirbuKmiIyO16odxT6XMzTOnKvjeXfmVLK2KLV5/KmUCAAAAAAAAYKiEl0pi4+o+ifrv91T991M3QQEAAAAAAACA1KPHLQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJUhcAsAAAAAAAAAVobALQAAAAAAAABYGQK3AAAAAAAAAGBlCNwCAAAAAAAAgJWxT0vimKDgZ1UP4D/DFBIiSQqkPeAl9+BBqCTaAiDRHoD4aA9AHNoDYEZbAOKkpR3YmEwmU0qJgh+EaNHvGxQdHf1EFQNeFDaSUmw4wEuAtgDEoT0AcWgPQBzaA2BGWwDi2NvZqVXT2krn5ppsulQFbiVz8DYsLOKpVA74r4uOiZadrd3zrgbw3NEWgDi0ByAO7QGIQ3sAzGgLQBxnZ8cUg7ZSGgK3AAAAAAAAAIB/B5OTAQAAAAAAAICVIXALAAAAAAAAAFaGwC0AAAAAAAAAWBkCtwAAAAAAAABgZQjcAgAAAAAAAICVIXALAAAAAAAAAFaGwC0AAAAAAAAAWJn/A/RbnrWftAUzAAAAAElFTkSuQmCC",
|
||
"text/plain": [
|
||
"<Figure size 1400x300 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import matplotlib.patches as patches\n",
|
||
"from matplotlib.table import Table\n",
|
||
"import numpy as np\n",
|
||
"\n",
|
||
"# VO2 Max Master Chart Data\n",
|
||
"VO2_MASTER_CHART = {\n",
|
||
" 'male': {\n",
|
||
" '20-29': {\n",
|
||
" 'Very Poor': (29.0, 38.1),\n",
|
||
" 'Poor': (38.1, 44.9),\n",
|
||
" 'Fair': (44.9, 50.2),\n",
|
||
" 'Good': (50.2, 61.8),\n",
|
||
" 'Excellent': (57.1, 66.3),\n",
|
||
" 'Superior': (66.3, None) # None means open-ended\n",
|
||
" },\n",
|
||
" '30-39': {\n",
|
||
" 'Very Poor': (27.2, 34.1),\n",
|
||
" 'Poor': (34.1, 39.6),\n",
|
||
" 'Fair': (39.6, 45.2),\n",
|
||
" 'Good': (45.2, 51.6),\n",
|
||
" 'Excellent': (51.6, 59.8),\n",
|
||
" 'Superior': (59.8, None)\n",
|
||
" },\n",
|
||
" '40-49': {\n",
|
||
" 'Very Poor': (24.2, 30.5),\n",
|
||
" 'Poor': (30.5, 35.7),\n",
|
||
" 'Fair': (35.7, 40.3),\n",
|
||
" 'Good': (40.3, 46.7),\n",
|
||
" 'Excellent': (46.7, 55.6),\n",
|
||
" 'Superior': (55.6, None)\n",
|
||
" },\n",
|
||
" '50-59': {\n",
|
||
" 'Very Poor': (20.9, 26.1),\n",
|
||
" 'Poor': (26.1, 30.7),\n",
|
||
" 'Fair': (30.7, 35.1),\n",
|
||
" 'Good': (35.1, 41.2),\n",
|
||
" 'Excellent': (41.2, 50.7),\n",
|
||
" 'Superior': (50.7, None)\n",
|
||
" },\n",
|
||
" '60-69': {\n",
|
||
" 'Very Poor': (17.4, 22.4),\n",
|
||
" 'Poor': (22.4, 26.6),\n",
|
||
" 'Fair': (26.6, 30.5),\n",
|
||
" 'Good': (30.5, 36.1),\n",
|
||
" 'Excellent': (36.1, 43.0),\n",
|
||
" 'Superior': (43.0, None)\n",
|
||
" }\n",
|
||
" },\n",
|
||
" 'female': {\n",
|
||
" '20-29': {\n",
|
||
" 'Very Poor': (21.7, 28.6),\n",
|
||
" 'Poor': (28.6, 34.6),\n",
|
||
" 'Fair': (34.6, 40.6),\n",
|
||
" 'Good': (40.6, 46.5),\n",
|
||
" 'Excellent': (46.5, 56.0),\n",
|
||
" 'Superior': (56.0, None)\n",
|
||
" },\n",
|
||
" '30-39': {\n",
|
||
" 'Very Poor': (19.0, 24.1),\n",
|
||
" 'Poor': (24.1, 28.2),\n",
|
||
" 'Fair': (28.2, 32.2),\n",
|
||
" 'Good': (32.2, 35.7),\n",
|
||
" 'Excellent': (35.7, 45.8),\n",
|
||
" 'Superior': (45.8, None)\n",
|
||
" },\n",
|
||
" '40-49': {\n",
|
||
" 'Very Poor': (17.0, 21.3),\n",
|
||
" 'Poor': (21.3, 24.9),\n",
|
||
" 'Fair': (24.9, 28.7),\n",
|
||
" 'Good': (28.7, 34.0),\n",
|
||
" 'Excellent': (34.0, 41.7),\n",
|
||
" 'Superior': (41.7, None)\n",
|
||
" },\n",
|
||
" '50-59': {\n",
|
||
" 'Very Poor': (16.0, 19.1),\n",
|
||
" 'Poor': (19.1, 24.4),\n",
|
||
" 'Fair': (21.8, 27.6),\n",
|
||
" 'Good': (25.2, 28.6),\n",
|
||
" 'Excellent': (28.6, 35.9),\n",
|
||
" 'Superior': (35.9, None)\n",
|
||
" },\n",
|
||
" '60-69': {\n",
|
||
" 'Very Poor': (13.4, 16.5),\n",
|
||
" 'Poor': (16.5, 18.9),\n",
|
||
" 'Fair': (18.9, 21.2),\n",
|
||
" 'Good': (21.2, 24.6),\n",
|
||
" 'Excellent': (24.6, 29.4),\n",
|
||
" 'Superior': (29.4, None)\n",
|
||
" }\n",
|
||
" }\n",
|
||
"}\n",
|
||
"\n",
|
||
"def get_age_range(age):\n",
|
||
" \"\"\"Determine age range from age in years.\"\"\"\n",
|
||
" if 20 <= age <= 29:\n",
|
||
" return '20-29'\n",
|
||
" elif 30 <= age <= 39:\n",
|
||
" return '30-39'\n",
|
||
" elif 40 <= age <= 49:\n",
|
||
" return '40-49'\n",
|
||
" elif 50 <= age <= 59:\n",
|
||
" return '50-59'\n",
|
||
" elif 60 <= age <= 69:\n",
|
||
" return '60-69'\n",
|
||
" else:\n",
|
||
" # Default to closest range\n",
|
||
" if age < 20:\n",
|
||
" return '20-29'\n",
|
||
" elif age >= 70:\n",
|
||
" return '60-69'\n",
|
||
" else:\n",
|
||
" return '30-39' # fallback\n",
|
||
"\n",
|
||
"def determine_category(vo2_max, age_range, gender):\n",
|
||
" \"\"\"Determine VO2 max category based on value, age, and gender.\"\"\"\n",
|
||
" gender_key = 'male' if gender.lower().startswith('m') else 'female'\n",
|
||
" ranges = VO2_MASTER_CHART[gender_key][age_range]\n",
|
||
" \n",
|
||
" categories = ['Very Poor', 'Poor', 'Fair', 'Good', 'Excellent', 'Superior']\n",
|
||
" \n",
|
||
" # Check Superior category first (open-ended)\n",
|
||
" min_val, max_val = ranges['Superior']\n",
|
||
" if max_val is None and vo2_max >= min_val:\n",
|
||
" print(f\"It is always superior\")\n",
|
||
" return 'Superior'\n",
|
||
" \n",
|
||
" # Check other categories from Excellent down to Very Poor\n",
|
||
" # Ranges are typically [min, max) - inclusive of min, exclusive of max\n",
|
||
" # But when value equals max, it belongs to the next category\n",
|
||
" for category in reversed(categories[:-1]): # Exclude Superior as we already checked it\n",
|
||
" min_val, max_val = ranges[category]\n",
|
||
" # Check if value falls in this range (inclusive of min, exclusive of max)\n",
|
||
" if min_val <= vo2_max < max_val:\n",
|
||
" return category\n",
|
||
" \n",
|
||
" # If value is below all ranges, return Very Poor\n",
|
||
" # This handles the case where vo2_max < min of Very Poor\n",
|
||
" return 'Very Poor'\n",
|
||
"\n",
|
||
"def format_range(min_val, max_val):\n",
|
||
" \"\"\"Format range as string.\"\"\"\n",
|
||
" if max_val is None:\n",
|
||
" return f\"{min_val}+\"\n",
|
||
" else:\n",
|
||
" return f\"{min_val}-{max_val}\"\n",
|
||
"\n",
|
||
"def generate_vo2_max_table(age, gender, vo2_max_value, save_path=None):\n",
|
||
" \"\"\"\n",
|
||
" Generate VO2 Max table with indicator arrow.\n",
|
||
" \n",
|
||
" Args:\n",
|
||
" age: Patient age in years\n",
|
||
" gender: 'male' or 'female' (or 'm'/'f')\n",
|
||
" vo2_max_value: Patient's VO2 max value\n",
|
||
" save_path: Optional path to save the figure\n",
|
||
" \n",
|
||
" Returns:\n",
|
||
" fig, ax: matplotlib figure and axes\n",
|
||
" \"\"\"\n",
|
||
" # Determine age range and category\n",
|
||
" age_range = get_age_range(age)\n",
|
||
" category = determine_category(vo2_max_value, age_range, gender)\n",
|
||
" \n",
|
||
" # Debug: print the determined category\n",
|
||
" print(f\"Age: {age}, Gender: {gender}, VO2 Max: {vo2_max_value}\")\n",
|
||
" print(f\"Age Range: {age_range}, Category: {category}\")\n",
|
||
" \n",
|
||
" # Get the appropriate data\n",
|
||
" gender_key = 'male' if gender.lower().startswith('m') else 'female'\n",
|
||
" ranges = VO2_MASTER_CHART[gender_key][age_range]\n",
|
||
" \n",
|
||
" # Prepare table data\n",
|
||
" headers = ['Age', 'Very Poor', 'Poor', 'Fair', 'Good', 'Excellent', 'Superior']\n",
|
||
" age_label = f\"{age_range} ({gender[0].upper()})\"\n",
|
||
" \n",
|
||
" row_data = [age_label]\n",
|
||
" for cat in ['Very Poor', 'Poor', 'Fair', 'Good', 'Excellent', 'Superior']:\n",
|
||
" min_val, max_val = ranges[cat]\n",
|
||
" row_data.append(format_range(min_val, max_val))\n",
|
||
" \n",
|
||
" # Create figure\n",
|
||
" fig, ax = plt.subplots(figsize=(14, 3))\n",
|
||
" ax.axis('off')\n",
|
||
" \n",
|
||
" # Create table\n",
|
||
" table_data = [headers, row_data]\n",
|
||
" table = ax.table(cellText=table_data,\n",
|
||
" cellLoc='center',\n",
|
||
" loc='center',\n",
|
||
" bbox=[0, 0, 1, 1])\n",
|
||
" \n",
|
||
" # Style the table\n",
|
||
" table.auto_set_font_size(False)\n",
|
||
" table.set_fontsize(11)\n",
|
||
" table.scale(1, 2.5)\n",
|
||
" \n",
|
||
" # Header row styling (cyan background)\n",
|
||
" for i in range(len(headers)):\n",
|
||
" cell = table[(0, i)]\n",
|
||
" cell.set_facecolor('#7dd3fc') # cyan-300 equivalent\n",
|
||
" cell.set_text_props(weight='bold', color='black')\n",
|
||
" cell.set_edgecolor('#9ca3af') # gray-400\n",
|
||
" cell.set_linewidth(1)\n",
|
||
" \n",
|
||
" # Find the column index for the category (before styling)\n",
|
||
" category_index = headers.index(category)\n",
|
||
" \n",
|
||
" # Data row styling\n",
|
||
" for i in range(len(row_data)):\n",
|
||
" cell = table[(1, i)]\n",
|
||
" if i == 0: # Age column\n",
|
||
" cell.set_facecolor('#a5f3fc') # cyan-200\n",
|
||
" cell.set_text_props(weight='semibold', color='black')\n",
|
||
" else:\n",
|
||
" cell.set_facecolor('#f3f4f6') # gray-100\n",
|
||
" cell.set_text_props(color='black')\n",
|
||
" # Bold the cell that corresponds to the patient's category\n",
|
||
" if i == category_index:\n",
|
||
" cell.set_text_props(weight='bold', color='black')\n",
|
||
" cell.set_edgecolor('#9ca3af') # gray-400\n",
|
||
" cell.set_linewidth(1)\n",
|
||
" \n",
|
||
" # Add arrow indicator below the category column\n",
|
||
" # Calculate position\n",
|
||
" cell_width = 1.0 / len(headers)\n",
|
||
" arrow_x = (category_index + 0.5) * cell_width\n",
|
||
" \n",
|
||
" # Draw arrow pointing up\n",
|
||
" arrow = patches.FancyArrowPatch(\n",
|
||
" (arrow_x, -0.15), (arrow_x, -0.05),\n",
|
||
" arrowstyle='->', mutation_scale=20, \n",
|
||
" linewidth=2, color='black',\n",
|
||
" transform=ax.transAxes\n",
|
||
" )\n",
|
||
" ax.add_patch(arrow)\n",
|
||
" \n",
|
||
" # Add triangle at the top\n",
|
||
" triangle = patches.RegularPolygon(\n",
|
||
" (arrow_x, -0.05), 3, radius=0.02,\n",
|
||
" orientation=np.pi/2, color='black',\n",
|
||
" transform=ax.transAxes\n",
|
||
" )\n",
|
||
" ax.add_patch(triangle)\n",
|
||
" \n",
|
||
" # Set title - calculate approximate percentile\n",
|
||
" # For Superior category, use 100th percentile as shown in template\n",
|
||
" if category == 'Superior':\n",
|
||
" percentile = '100th percentile'\n",
|
||
" else:\n",
|
||
" percentile_map = {\n",
|
||
" 'Very Poor': '1st-10th percentile',\n",
|
||
" 'Poor': '10th-20th percentile',\n",
|
||
" 'Fair': '20th-40th percentile',\n",
|
||
" 'Good': '40th-60th percentile',\n",
|
||
" 'Excellent': '60th-80th percentile'\n",
|
||
" }\n",
|
||
" percentile = percentile_map.get(category, 'N/A')\n",
|
||
" \n",
|
||
" title = f\"VO2 Max - {vo2_max_value:.1f} ({percentile})\"\n",
|
||
" ax.set_title(title, fontsize=14, fontweight='bold', pad=20)\n",
|
||
" \n",
|
||
" plt.tight_layout()\n",
|
||
" \n",
|
||
" if save_path:\n",
|
||
" plt.savefig(save_path, dpi=300, bbox_inches='tight')\n",
|
||
" \n",
|
||
" return fig, ax\n",
|
||
"\n",
|
||
"# Test the function\n",
|
||
"# Example: 30-year-old female with VO2 max of 49.5\n",
|
||
"fig, ax = generate_vo2_max_table(\n",
|
||
" age=45,\n",
|
||
" gender='male',\n",
|
||
" vo2_max_value=35.5,\n",
|
||
" save_path=f'{base_dir}/graphs/vo2_max_table.png'\n",
|
||
")\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"id": "c46b53f0",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Age: 50, Gender: male, Resting Heart Rate: 76\n",
|
||
"Age Range: 46-55, Category: Average\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1600x300 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Resting Heart Rate Master Chart Data\n",
|
||
"RHR_MASTER_CHART = {\n",
|
||
" 'male': {\n",
|
||
" '18-25': {\n",
|
||
" 'Poor': (85, None), # 85bpm+\n",
|
||
" 'Below Average': (79, 85),\n",
|
||
" 'Average': (74, 79),\n",
|
||
" 'Above Average': (70, 74),\n",
|
||
" 'Good': (66, 70),\n",
|
||
" 'Excellent': (61, 66),\n",
|
||
" 'Athlete': (40, 61)\n",
|
||
" },\n",
|
||
" '26-35': {\n",
|
||
" 'Poor': (83, None), # 83bpm+\n",
|
||
" 'Below Average': (77, 83),\n",
|
||
" 'Average': (73, 77),\n",
|
||
" 'Above Average': (69, 73),\n",
|
||
" 'Good': (65, 69),\n",
|
||
" 'Excellent': (60, 65),\n",
|
||
" 'Athlete': (42, 60)\n",
|
||
" },\n",
|
||
" '36-45': {\n",
|
||
" 'Poor': (85, None), # 85bpm+\n",
|
||
" 'Below Average': (79, 85),\n",
|
||
" 'Average': (74, 79),\n",
|
||
" 'Above Average': (70, 74),\n",
|
||
" 'Good': (65, 70),\n",
|
||
" 'Excellent': (60, 65),\n",
|
||
" 'Athlete': (45, 60)\n",
|
||
" },\n",
|
||
" '46-55': {\n",
|
||
" 'Poor': (84, None), # 84bpm+\n",
|
||
" 'Below Average': (78, 84),\n",
|
||
" 'Average': (74, 78),\n",
|
||
" 'Above Average': (70, 74),\n",
|
||
" 'Good': (66, 70),\n",
|
||
" 'Excellent': (61, 66),\n",
|
||
" 'Athlete': (48, 61)\n",
|
||
" },\n",
|
||
" '56-65': {\n",
|
||
" 'Poor': (84, None), # 84bpm+\n",
|
||
" 'Below Average': (78, 84),\n",
|
||
" 'Average': (74, 78),\n",
|
||
" 'Above Average': (70, 74),\n",
|
||
" 'Good': (65, 70),\n",
|
||
" 'Excellent': (60, 65),\n",
|
||
" 'Athlete': (50, 60)\n",
|
||
" },\n",
|
||
" '65+': {\n",
|
||
" 'Poor': (84, None), # 84bpm+\n",
|
||
" 'Below Average': (77, 84),\n",
|
||
" 'Average': (73, 77),\n",
|
||
" 'Above Average': (70, 73),\n",
|
||
" 'Good': (65, 70),\n",
|
||
" 'Excellent': (60, 65),\n",
|
||
" 'Athlete': (52, 60)\n",
|
||
" }\n",
|
||
" },\n",
|
||
" 'female': {\n",
|
||
" '18-25': {\n",
|
||
" 'Poor': (82, None), # 82bpm+\n",
|
||
" 'Below Average': (74, 82),\n",
|
||
" 'Average': (70, 74),\n",
|
||
" 'Above Average': (66, 70),\n",
|
||
" 'Good': (62, 66),\n",
|
||
" 'Excellent': (56, 62),\n",
|
||
" 'Athlete': (40, 56)\n",
|
||
" },\n",
|
||
" '26-35': {\n",
|
||
" 'Poor': (82, None), # 82bpm+\n",
|
||
" 'Below Average': (75, 82),\n",
|
||
" 'Average': (71, 75),\n",
|
||
" 'Above Average': (66, 71),\n",
|
||
" 'Good': (62, 66),\n",
|
||
" 'Excellent': (55, 62),\n",
|
||
" 'Athlete': (44, 55)\n",
|
||
" },\n",
|
||
" '36-45': {\n",
|
||
" 'Poor': (83, None), # 83bpm+\n",
|
||
" 'Below Average': (76, 83),\n",
|
||
" 'Average': (71, 76),\n",
|
||
" 'Above Average': (67, 71),\n",
|
||
" 'Good': (63, 67),\n",
|
||
" 'Excellent': (57, 63),\n",
|
||
" 'Athlete': (47, 57)\n",
|
||
" },\n",
|
||
" '46-55': {\n",
|
||
" 'Poor': (84, None), # 84bpm+\n",
|
||
" 'Below Average': (77, 84),\n",
|
||
" 'Average': (72, 77),\n",
|
||
" 'Above Average': (68, 72),\n",
|
||
" 'Good': (64, 68),\n",
|
||
" 'Excellent': (58, 64),\n",
|
||
" 'Athlete': (49, 58)\n",
|
||
" },\n",
|
||
" '56-65': {\n",
|
||
" 'Poor': (82, None), # 82bpm+\n",
|
||
" 'Below Average': (76, 82),\n",
|
||
" 'Average': (72, 76),\n",
|
||
" 'Above Average': (68, 72),\n",
|
||
" 'Good': (62, 68),\n",
|
||
" 'Excellent': (57, 62),\n",
|
||
" 'Athlete': (51, 57)\n",
|
||
" },\n",
|
||
" '65+': {\n",
|
||
" 'Poor': (80, None), # 80bpm+\n",
|
||
" 'Below Average': (74, 80),\n",
|
||
" 'Average': (70, 74),\n",
|
||
" 'Above Average': (66, 70),\n",
|
||
" 'Good': (62, 66),\n",
|
||
" 'Excellent': (56, 62),\n",
|
||
" 'Athlete': (52, 56)\n",
|
||
" }\n",
|
||
" }\n",
|
||
"}\n",
|
||
"\n",
|
||
"def get_rhr_age_range(age):\n",
|
||
" \"\"\"Determine age range from age in years for resting heart rate.\"\"\"\n",
|
||
" if 18 <= age <= 25:\n",
|
||
" return '18-25'\n",
|
||
" elif 26 <= age <= 35:\n",
|
||
" return '26-35'\n",
|
||
" elif 36 <= age <= 45:\n",
|
||
" return '36-45'\n",
|
||
" elif 46 <= age <= 55:\n",
|
||
" return '46-55'\n",
|
||
" elif 56 <= age <= 65:\n",
|
||
" return '56-65'\n",
|
||
" else:\n",
|
||
" # Default to closest range\n",
|
||
" if age < 18:\n",
|
||
" return '18-25'\n",
|
||
" elif age > 65:\n",
|
||
" return '65+'\n",
|
||
" else:\n",
|
||
" return '26-35' # fallback\n",
|
||
"\n",
|
||
"def determine_rhr_category(rhr, age_range, gender):\n",
|
||
" \"\"\"Determine resting heart rate category based on value, age, and gender.\"\"\"\n",
|
||
" gender_key = 'male' if gender.lower().startswith('m') else 'female'\n",
|
||
" ranges = RHR_MASTER_CHART[gender_key][age_range]\n",
|
||
" \n",
|
||
" categories = ['Poor', 'Below Average', 'Average', 'Above Average', 'Good', 'Excellent', 'Athlete']\n",
|
||
" \n",
|
||
" # Check Poor category first (open-ended at top)\n",
|
||
" min_val, max_val = ranges['Poor']\n",
|
||
" if max_val is None and rhr >= min_val:\n",
|
||
" return 'Poor'\n",
|
||
" \n",
|
||
" # Check other categories from Below Average down to Athlete\n",
|
||
" # For RHR, lower is better, so we check from highest to lowest\n",
|
||
" for category in ['Below Average', 'Average', 'Above Average', 'Good', 'Excellent', 'Athlete']:\n",
|
||
" min_val, max_val = ranges[category]\n",
|
||
" # Check if value falls in this range (inclusive of min, exclusive of max)\n",
|
||
" if min_val <= rhr < max_val:\n",
|
||
" return category\n",
|
||
" \n",
|
||
" # If value is below all ranges (below Athlete minimum), return Athlete\n",
|
||
" # This handles the case where rhr < min of Athlete\n",
|
||
" return 'Athlete'\n",
|
||
"\n",
|
||
"def format_rhr_range(min_val, max_val):\n",
|
||
" \"\"\"Format RHR range as string.\"\"\"\n",
|
||
" if max_val is None:\n",
|
||
" return f\"{min_val}bpm +\"\n",
|
||
" else:\n",
|
||
" return f\"{min_val}-{max_val}bpm\"\n",
|
||
"\n",
|
||
"def generate_resting_heart_rate_table(age, gender, rhr_value, save_path=None):\n",
|
||
" \"\"\"\n",
|
||
" Generate Resting Heart Rate table with indicator arrow.\n",
|
||
" \n",
|
||
" Args:\n",
|
||
" age: Patient age in years\n",
|
||
" gender: 'male' or 'female' (or 'm'/'f')\n",
|
||
" rhr_value: Patient's resting heart rate value in bpm\n",
|
||
" save_path: Optional path to save the figure\n",
|
||
" \n",
|
||
" Returns:\n",
|
||
" fig, ax: matplotlib figure and axes\n",
|
||
" \"\"\"\n",
|
||
" # Determine age range and category\n",
|
||
" age_range = get_rhr_age_range(age)\n",
|
||
" category = determine_rhr_category(rhr_value, age_range, gender)\n",
|
||
" \n",
|
||
" # Debug: print the determined category\n",
|
||
" print(f\"Age: {age}, Gender: {gender}, Resting Heart Rate: {rhr_value}\")\n",
|
||
" print(f\"Age Range: {age_range}, Category: {category}\")\n",
|
||
" \n",
|
||
" # Get the appropriate data\n",
|
||
" gender_key = 'male' if gender.lower().startswith('m') else 'female'\n",
|
||
" ranges = RHR_MASTER_CHART[gender_key][age_range]\n",
|
||
" \n",
|
||
" # Prepare table data\n",
|
||
" headers = ['Age', 'Poor', 'Below Average', 'Average', 'Above Average', 'Good', 'Excellent', 'Athlete']\n",
|
||
" age_label = f\"{age_range} ({gender[0].upper()})\"\n",
|
||
" \n",
|
||
" row_data = [age_label]\n",
|
||
" for cat in ['Poor', 'Below Average', 'Average', 'Above Average', 'Good', 'Excellent', 'Athlete']:\n",
|
||
" min_val, max_val = ranges[cat]\n",
|
||
" row_data.append(format_rhr_range(min_val, max_val))\n",
|
||
" \n",
|
||
" # Create figure\n",
|
||
" fig, ax = plt.subplots(figsize=(16, 3))\n",
|
||
" ax.axis('off')\n",
|
||
" \n",
|
||
" # Create table\n",
|
||
" table_data = [headers, row_data]\n",
|
||
" table = ax.table(cellText=table_data,\n",
|
||
" cellLoc='center',\n",
|
||
" loc='center',\n",
|
||
" bbox=[0, 0, 1, 1])\n",
|
||
" \n",
|
||
" # Style the table\n",
|
||
" table.auto_set_font_size(False)\n",
|
||
" table.set_fontsize(11)\n",
|
||
" table.scale(1, 2.5)\n",
|
||
" \n",
|
||
" # Header row styling (cyan background)\n",
|
||
" for i in range(len(headers)):\n",
|
||
" cell = table[(0, i)]\n",
|
||
" cell.set_facecolor('#7dd3fc') # cyan-300 equivalent\n",
|
||
" cell.set_text_props(weight='bold', color='black')\n",
|
||
" cell.set_edgecolor('#9ca3af') # gray-400\n",
|
||
" cell.set_linewidth(1)\n",
|
||
" \n",
|
||
" # Find the column index for the category (before styling)\n",
|
||
" category_index = headers.index(category)\n",
|
||
" \n",
|
||
" # Data row styling\n",
|
||
" for i in range(len(row_data)):\n",
|
||
" cell = table[(1, i)]\n",
|
||
" if i == 0: # Age column\n",
|
||
" cell.set_facecolor('#a5f3fc') # cyan-200\n",
|
||
" cell.set_text_props(weight='semibold', color='black')\n",
|
||
" else:\n",
|
||
" # Highlight the category cell with light green background\n",
|
||
" if i == category_index:\n",
|
||
" cell.set_facecolor('#d1fae5') # green-200 equivalent\n",
|
||
" cell.set_text_props(weight='bold', color='black')\n",
|
||
" else:\n",
|
||
" cell.set_facecolor('#f3f4f6') # gray-100\n",
|
||
" cell.set_text_props(color='black')\n",
|
||
" cell.set_edgecolor('#9ca3af') # gray-400\n",
|
||
" cell.set_linewidth(1)\n",
|
||
" \n",
|
||
" # Add arrow indicator below the category column\n",
|
||
" # Calculate position\n",
|
||
" cell_width = 1.0 / len(headers)\n",
|
||
" arrow_x = (category_index + 0.5) * cell_width\n",
|
||
" \n",
|
||
" # Draw arrow pointing up\n",
|
||
" arrow = patches.FancyArrowPatch(\n",
|
||
" (arrow_x, -0.15), (arrow_x, -0.05),\n",
|
||
" arrowstyle='->', mutation_scale=20, \n",
|
||
" linewidth=2, color='black',\n",
|
||
" transform=ax.transAxes\n",
|
||
" )\n",
|
||
" ax.add_patch(arrow)\n",
|
||
" \n",
|
||
" # Add triangle at the top\n",
|
||
" triangle = patches.RegularPolygon(\n",
|
||
" (arrow_x, -0.05), 3, radius=0.02,\n",
|
||
" orientation=np.pi/2, color='black',\n",
|
||
" transform=ax.transAxes\n",
|
||
" )\n",
|
||
" ax.add_patch(triangle)\n",
|
||
" \n",
|
||
" # Set title\n",
|
||
" title = f\"Resting Heart Rate - {rhr_value:.0f}bpm\"\n",
|
||
" ax.set_title(title, fontsize=14, fontweight='bold', pad=20)\n",
|
||
" \n",
|
||
" plt.tight_layout()\n",
|
||
" \n",
|
||
" if save_path:\n",
|
||
" plt.savefig(save_path, dpi=300, bbox_inches='tight')\n",
|
||
" \n",
|
||
" return fig, ax\n",
|
||
"\n",
|
||
"# Test the function\n",
|
||
"# Example: 30-year-old female with resting heart rate of 53bpm\n",
|
||
"fig, ax = generate_resting_heart_rate_table(\n",
|
||
" age=50,\n",
|
||
" gender='male',\n",
|
||
" rhr_value=76,\n",
|
||
" save_path=f'{base_dir}/graphs/resting_heart_rate_table.png'\n",
|
||
")\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"id": "84addc63",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"==================================================\n",
|
||
"Optimal Fat Burning Zone (highest fat:carb ratio):\n",
|
||
"Time: 164.0 seconds\n",
|
||
"Fat burn rate: 3.894 kcal/min\n",
|
||
"Carb burn rate: 1.575 kcal/min\n",
|
||
"Fat:Carb ratio: 2.47\n",
|
||
"Heart Rate: 96.7 bpm\n",
|
||
"VO2: 1147.9 ml/min\n",
|
||
"VT1: {'HeartRate': np.float64(100.5), 'Speed': np.float64(4.0), 'Time': np.float64(251.0)}\n",
|
||
"VT2: {'HeartRate': np.float64(189.71300000000002), 'Speed': np.float64(7.5), 'Time': np.float64(1524.0)}\n",
|
||
"Zone 1 (Active Recovery): 81.7 - 96.7 bpm\n",
|
||
"Zone 2 (Aerobic Base): 96.7 - 100.5 bpm\n",
|
||
"Zone 3 (Aerobic): 100.5 - 179.7 bpm\n",
|
||
"Zone 4 (Lactate Threshold): 179.7 - 189.7 bpm\n",
|
||
"Zone 5 (VO2 Max): 189.7 - 199.7 bpm\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"\n",
|
||
"# Find the point where fat burning is highest and carb burning is lowest\n",
|
||
"# Using the smoothed data for more stable results\n",
|
||
"fat_burn_max_idx = df['FAT_smoothed'].idxmax()\n",
|
||
"carb_burn_min_idx = df['CHO_smoothed'].idxmin()\n",
|
||
"\n",
|
||
"\n",
|
||
"print(\"\\n\" + \"=\"*50)\n",
|
||
"\n",
|
||
"# Find the optimal fat burning zone (highest fat:carb ratio)\n",
|
||
"df['fat_carb_ratio'] = df['FAT_smoothed'] / (df['CHO_smoothed'] + 0.00000001) # Add small value to avoid division by zero\n",
|
||
"optimal_fat_idx = df['fat_carb_ratio'].idxmax()\n",
|
||
"optimal_row = df.loc[optimal_fat_idx]\n",
|
||
"\n",
|
||
"print(\"Optimal Fat Burning Zone (highest fat:carb ratio):\")\n",
|
||
"print(f\"Time: {optimal_row['T(sec)']} seconds\")\n",
|
||
"print(f\"Fat burn rate: {optimal_row['FAT_smoothed']:.3f} kcal/min\")\n",
|
||
"print(f\"Carb burn rate: {optimal_row['CHO_smoothed']:.3f} kcal/min\")\n",
|
||
"print(f\"Fat:Carb ratio: {optimal_row['fat_carb_ratio']:.2f}\")\n",
|
||
"print(f\"Heart Rate: {optimal_row['HR(bpm)_smoothed']:.1f} bpm\")\n",
|
||
"print(f\"VO2: {optimal_row['VO2(ml/min)_smoothed']:.1f} ml/min\")\n",
|
||
"\n",
|
||
"def detect_vt1(df, fat_col=\"FAT_smoothed\", carb_col=\"CHO_smoothed\"):\n",
|
||
" \"\"\"\n",
|
||
" Detect VT1 as the first index where carb burn > fat burn and remains higher.\n",
|
||
" \"\"\"\n",
|
||
" condition = df[carb_col] > df[fat_col]\n",
|
||
" crossover_indices = condition[condition].index\n",
|
||
"\n",
|
||
" if len(crossover_indices) == 0:\n",
|
||
" return None # No crossover found\n",
|
||
" \n",
|
||
" # Find first crossover where carbs remain higher for the rest\n",
|
||
" for idx in crossover_indices:\n",
|
||
" if all(df.loc[idx:][carb_col] > df.loc[idx:][fat_col]):\n",
|
||
" return idx\n",
|
||
" return None\n",
|
||
"\n",
|
||
"\n",
|
||
"def detect_vt2(df, vent_col=\"VE(l/min)_smoothed\", bf_col=\"BF(bpm)_smoothed\", smooth_window=5):\n",
|
||
" \"\"\"\n",
|
||
" Detect VT2 using slope/inflection method.\n",
|
||
" Works with either Ventilation (VE) or Breathing Frequency (Bf).\n",
|
||
" \"\"\"\n",
|
||
" col = vent_col if vent_col in df.columns else bf_col\n",
|
||
" \n",
|
||
" # Use already smoothed data\n",
|
||
" smoothed_col = col\n",
|
||
" \n",
|
||
" # Compute slope (first derivative)\n",
|
||
" df[\"slope\"] = df[smoothed_col].diff()\n",
|
||
" \n",
|
||
" # Detect inflection: largest change in slope (second derivative peak)\n",
|
||
" df[\"second_derivative\"] = df[\"slope\"].diff()\n",
|
||
" inflection_idx = df[\"second_derivative\"].idxmax()\n",
|
||
" \n",
|
||
" return inflection_idx\n",
|
||
"\n",
|
||
"\n",
|
||
"def analyze_thresholds(df_input):\n",
|
||
" # Use the existing dataframe\n",
|
||
" df_copy = df_input.copy()\n",
|
||
" \n",
|
||
" # --- Detect VT1 ---\n",
|
||
" vt1_idx = detect_vt1(df_copy)\n",
|
||
" vt1 = None\n",
|
||
" if vt1_idx is not None:\n",
|
||
" vt1 = {\n",
|
||
" \"HeartRate\": df_copy.loc[vt1_idx, \"HR(bpm)_smoothed\"],\n",
|
||
" \"Speed\": df_copy.loc[vt1_idx, \"Speed\"],\n",
|
||
" \"Time\": df_copy.loc[vt1_idx, \"T(sec)\"]\n",
|
||
" }\n",
|
||
" \n",
|
||
" # --- Detect VT2 ---\n",
|
||
" vt2_idx = detect_vt2(df_copy)\n",
|
||
" vt2 = None\n",
|
||
" if vt2_idx is not None:\n",
|
||
" vt2 = {\n",
|
||
" \"HeartRate\": df_copy.loc[vt2_idx, \"HR(bpm)_smoothed\"],\n",
|
||
" \"Speed\": df_copy.loc[vt2_idx, \"Speed\"],\n",
|
||
" \"Time\": df_copy.loc[vt2_idx, \"T(sec)\"]\n",
|
||
" }\n",
|
||
" \n",
|
||
" return vt1, vt2\n",
|
||
"\n",
|
||
"\n",
|
||
"vt1, vt2 = analyze_thresholds(df)\n",
|
||
"print(\"VT1:\", vt1)\n",
|
||
"print(\"VT2:\", vt2)\n",
|
||
"zone_1_start = optimal_row['HR(bpm)_smoothed'] - 15\n",
|
||
"zone_2_start = optimal_row['HR(bpm)_smoothed']\n",
|
||
"zone_3_start = vt1\n",
|
||
"zone_4_start = vt2['HeartRate'] - 10\n",
|
||
"zone_5_start = vt2['HeartRate']\n",
|
||
"zone_5_end = vt2['HeartRate'] + 10\n",
|
||
"\n",
|
||
"zone_1_end = zone_2_start\n",
|
||
"zone_2_end = vt1['HeartRate']\n",
|
||
"zone_3_end = zone_4_start\n",
|
||
"zone_4_end = zone_5_start\n",
|
||
"\n",
|
||
"print(f\"Zone 1 (Active Recovery): {zone_1_start:.1f} - {zone_1_end:.1f} bpm\")\n",
|
||
"print(f\"Zone 2 (Aerobic Base): {zone_2_start:.1f} - {zone_2_end:.1f} bpm\")\n",
|
||
"print(f\"Zone 3 (Aerobic): {zone_3_start['HeartRate']:.1f} - {zone_3_end:.1f} bpm\")\n",
|
||
"print(f\"Zone 4 (Lactate Threshold): {zone_4_start:.1f} - {zone_4_end:.1f} bpm\")\n",
|
||
"print(f\"Zone 5 (VO2 Max): {zone_5_start:.1f} - {zone_5_end:.1f} bpm\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"id": "f324fe94",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1200x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import math\n",
|
||
"\n",
|
||
"# Define the fixed rows\n",
|
||
"descriptions = [\n",
|
||
" \"Improves health and\\nrecovery capacity\",\n",
|
||
" \"Improves endurance\\nand fat burning\",\n",
|
||
" \"Improves Aerobic\\nfitness\",\n",
|
||
" \"Improves maximum\\nperformance capacity\",\n",
|
||
" \"Develops maximum\\nperformance and speed\"\n",
|
||
"]\n",
|
||
"\n",
|
||
"hr_percentages = [\n",
|
||
" \"55-65% of Max Heart Rate\",\n",
|
||
" \"65-75% of Max Heart Rate\",\n",
|
||
" \"80-85% of Max Heart Rate\",\n",
|
||
" \"85-88% of Max Heart Rate\",\n",
|
||
" \"90%+ of Max Heart Rate\"\n",
|
||
"]\n",
|
||
"\n",
|
||
"ideal_breath_ranges = [\n",
|
||
" \"Ideal Range: 15-20 breaths\",\n",
|
||
" \"Ideal Range: 20-25 breaths\",\n",
|
||
" \"Ideal Range: 25-30 breaths\",\n",
|
||
" \"Ideal Range: 30-35 breaths\",\n",
|
||
" \"Ideal Range: 40+ breaths\"\n",
|
||
"]\n",
|
||
"\n",
|
||
"# Define the zones for iteration\n",
|
||
"# Note: zone_3_start is a dictionary (vt1), others are floats\n",
|
||
"# Use math.floor to ensure values match the exact integer values requested\n",
|
||
"zones_list = [\n",
|
||
" (\"Zone 1\", math.floor(zone_1_start), math.floor(zone_1_end)),\n",
|
||
" (\"Zone 2\", math.floor(zone_2_start), math.floor(zone_2_end)),\n",
|
||
" (\"Zone 3\", math.floor(zone_3_start['HeartRate']), math.floor(zone_3_end)),\n",
|
||
" (\"Zone 4\", math.floor(zone_4_start), math.floor(zone_4_end)),\n",
|
||
" (\"Zone 5\", math.floor(zone_5_start), math.floor(zone_5_end))\n",
|
||
"]\n",
|
||
"\n",
|
||
"# Calculate metrics for each zone\n",
|
||
"zone_metrics = {\n",
|
||
" \"HR BPM\": [],\n",
|
||
" \"Speed\": [],\n",
|
||
" \"Pace\": [],\n",
|
||
" \"Calories\": [],\n",
|
||
" \"Carb Utilization\": [],\n",
|
||
" \"Breathing\": []\n",
|
||
"}\n",
|
||
"\n",
|
||
"for i, (name, start, end) in enumerate(zones_list):\n",
|
||
" # Filter dataframe for the current zone\n",
|
||
" mask = (df['HR(bpm)_smoothed'] >= start) & (df['HR(bpm)_smoothed'] <= end)\n",
|
||
" zone_df = df[mask]\n",
|
||
" \n",
|
||
" # HR BPM Range\n",
|
||
" zone_metrics[\"HR BPM\"].append(f\"{int(start)}-{int(end)} bpm\")\n",
|
||
" \n",
|
||
" if not zone_df.empty:\n",
|
||
" # Speed (Range)\n",
|
||
" # df['Speed'] is in mph\n",
|
||
" # Filter out 0 speeds for range calculation\n",
|
||
" speed_series = zone_df[zone_df['Speed'] > 0.1]['Speed']\n",
|
||
" \n",
|
||
" if not speed_series.empty:\n",
|
||
" min_speed = speed_series.min()\n",
|
||
" max_speed = speed_series.max()\n",
|
||
" \n",
|
||
" if abs(min_speed - max_speed) < 0.1:\n",
|
||
" zone_metrics[\"Speed\"].append(f\"{min_speed:.1f} mph\\n2% Incline\")\n",
|
||
" else:\n",
|
||
" zone_metrics[\"Speed\"].append(f\"{min_speed:.1f}-{max_speed:.1f} mph\\n2% Incline\")\n",
|
||
" \n",
|
||
" # Pace (Range)\n",
|
||
" # Higher speed = Lower pace value (faster)\n",
|
||
" # So max_speed -> min_pace_val, min_speed -> max_pace_val\n",
|
||
" \n",
|
||
" def speed_to_pace(s_mph):\n",
|
||
" if s_mph <= 0: return 0, 0\n",
|
||
" s_kmh = s_mph * 1.60934\n",
|
||
" p_min = 60 / s_kmh\n",
|
||
" p_m = int(p_min)\n",
|
||
" p_s = int((p_min % 1) * 60)\n",
|
||
" return p_m, p_s\n",
|
||
"\n",
|
||
" min_pace_m, min_pace_s = speed_to_pace(max_speed) # Fastest speed -> Lowest pace number\n",
|
||
" max_pace_m, max_pace_s = speed_to_pace(min_speed) # Slowest speed -> Highest pace number\n",
|
||
" \n",
|
||
" if min_pace_m == max_pace_m and min_pace_s == max_pace_s:\n",
|
||
" pace_str = f\"{min_pace_m}:{min_pace_s:02d} min/km Pace\"\n",
|
||
" else:\n",
|
||
" pace_str = f\"{max_pace_m}:{max_pace_s:02d}-{min_pace_m}:{min_pace_s:02d}\\nmin/km Pace\"\n",
|
||
" zone_metrics[\"Pace\"].append(pace_str)\n",
|
||
" else:\n",
|
||
" zone_metrics[\"Speed\"].append(\"-\\n2% Incline\")\n",
|
||
" zone_metrics[\"Pace\"].append(\"-\")\n",
|
||
" \n",
|
||
" # Calories (EE)\n",
|
||
" # Use raw EE(kcal/min) instead of smoothed sum of FAT+CHO\n",
|
||
" avg_cals = zone_df['EE(kcal/min)'].mean()\n",
|
||
" zone_metrics[\"Calories\"].append(f\"Avg:\\n{avg_cals:.1f} kcals/minute\")\n",
|
||
" \n",
|
||
" # Carb Utilization (g/min)\n",
|
||
" # Use raw CHO\n",
|
||
" avg_carbs_g = zone_df['CHO'].mean() / 4\n",
|
||
" zone_metrics[\"Carb Utilization\"].append(f\"Avg: {avg_carbs_g:.1f}g/min\\nCarb Utilization\")\n",
|
||
" \n",
|
||
" # Breathing (BF)\n",
|
||
" avg_breaths = zone_df['BF(bpm)_smoothed'].mean()\n",
|
||
" ideal_range = ideal_breath_ranges[i]\n",
|
||
" zone_metrics[\"Breathing\"].append(f\"Avg: {int(avg_breaths)} breaths\\n{ideal_range}\")\n",
|
||
" \n",
|
||
" else:\n",
|
||
" zone_metrics[\"Speed\"].append(\"-\\n2% Incline\")\n",
|
||
" zone_metrics[\"Pace\"].append(\"-\")\n",
|
||
" zone_metrics[\"Calories\"].append(\"-\")\n",
|
||
" zone_metrics[\"Carb Utilization\"].append(\"-\")\n",
|
||
" zone_metrics[\"Breathing\"].append(f\"-\\n{ideal_breath_ranges[i]}\")\n",
|
||
"\n",
|
||
"# Prepare data for the table\n",
|
||
"table_data = []\n",
|
||
"table_data.append(descriptions)\n",
|
||
"table_data.append(hr_percentages)\n",
|
||
"table_data.append(zone_metrics[\"HR BPM\"])\n",
|
||
"table_data.append(zone_metrics[\"Speed\"])\n",
|
||
"table_data.append(zone_metrics[\"Pace\"])\n",
|
||
"table_data.append(zone_metrics[\"Calories\"])\n",
|
||
"table_data.append(zone_metrics[\"Carb Utilization\"])\n",
|
||
"table_data.append(zone_metrics[\"Breathing\"])\n",
|
||
"\n",
|
||
"col_labels = [\"Zone 1\", \"Zone 2\", \"Zone 3\", \"Zone 4\", \"Zone 5\"]\n",
|
||
"\n",
|
||
"# Create the table plot\n",
|
||
"fig, ax = plt.subplots(figsize=(12, 8)) # Reduced width from 16 to 12\n",
|
||
"ax.axis('off')\n",
|
||
"\n",
|
||
"# Create table without rowLabels\n",
|
||
"table = ax.table(cellText=table_data,\n",
|
||
" colLabels=col_labels,\n",
|
||
" loc='center',\n",
|
||
" cellLoc='center')\n",
|
||
"\n",
|
||
"table.auto_set_font_size(False)\n",
|
||
"table.set_fontsize(10)\n",
|
||
"table.scale(1, 3.5) # Increased vertical scale for multi-line text\n",
|
||
"\n",
|
||
"# Styling\n",
|
||
"# Header row\n",
|
||
"for j, label in enumerate(col_labels):\n",
|
||
" cell = table[(0, j)]\n",
|
||
" cell.set_facecolor('#7dd3fc') # cyan-300\n",
|
||
" cell.set_text_props(weight='bold')\n",
|
||
"\n",
|
||
"# Row specific styling\n",
|
||
"colors = ['#fecaca', '#fecaca', '#fef08a', '#bbf7d0', '#bbf7d0']\n",
|
||
"\n",
|
||
"for j in range(len(col_labels)):\n",
|
||
" # HR BPM row is at index 2 (0-based in data) -> row 3 in table (0 is header, 1 is desc, 2 is HR%, 3 is HR BPM)\n",
|
||
" cell = table[(3, j)] \n",
|
||
" cell.set_facecolor(colors[j])\n",
|
||
" cell.set_text_props(weight='bold')\n",
|
||
" \n",
|
||
" # Breathing row is at index 7 -> row 8 in table\n",
|
||
" cell = table[(8, j)]\n",
|
||
" cell.set_facecolor(colors[j])\n",
|
||
" cell.set_text_props(weight='bold')\n",
|
||
"\n",
|
||
"plt.title(\"Personalized Heart Rate Zones\", fontsize=16, fontweight='bold', pad=5) # Reduced pad from 20 to 5\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"id": "9c00c366",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Timestamp (seconds passed)</th>\n",
|
||
" <th>Lap/Event</th>\n",
|
||
" <th>Unnamed: 2</th>\n",
|
||
" <th>SmO2</th>\n",
|
||
" <th>HBDiff</th>\n",
|
||
" <th>Muscle state</th>\n",
|
||
" <th>Muscle trend</th>\n",
|
||
" <th>SmO2 unfiltered</th>\n",
|
||
" <th>O2HB unfiltered</th>\n",
|
||
" <th>HHb unfiltered</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>SmO2.1</th>\n",
|
||
" <th>HBDiff.1</th>\n",
|
||
" <th>Muscle state.1</th>\n",
|
||
" <th>Muscle trend.1</th>\n",
|
||
" <th>SmO2 unfiltered.1</th>\n",
|
||
" <th>O2HB unfiltered.1</th>\n",
|
||
" <th>HHb unfiltered.1</th>\n",
|
||
" <th>THb unfiltered.1</th>\n",
|
||
" <th>HBDiff unfiltered.1</th>\n",
|
||
" <th>Heart Rate (BPM).1</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.37</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>72.40</td>\n",
|
||
" <td>-0.26</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>72.52</td>\n",
|
||
" <td>-3.27</td>\n",
|
||
" <td>-2.29</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>87.04</td>\n",
|
||
" <td>1.57</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>86.46</td>\n",
|
||
" <td>-0.64</td>\n",
|
||
" <td>-0.74</td>\n",
|
||
" <td>-20.30</td>\n",
|
||
" <td>1.78</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>0.46</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>72.41</td>\n",
|
||
" <td>-0.26</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>73.06</td>\n",
|
||
" <td>-3.27</td>\n",
|
||
" <td>-2.31</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>87.04</td>\n",
|
||
" <td>1.57</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>86.66</td>\n",
|
||
" <td>-0.66</td>\n",
|
||
" <td>-0.66</td>\n",
|
||
" <td>-20.24</td>\n",
|
||
" <td>1.68</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>0.57</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>72.41</td>\n",
|
||
" <td>-0.26</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>72.58</td>\n",
|
||
" <td>-3.31</td>\n",
|
||
" <td>-2.25</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>1.57</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>86.81</td>\n",
|
||
" <td>-0.69</td>\n",
|
||
" <td>-0.67</td>\n",
|
||
" <td>-20.28</td>\n",
|
||
" <td>1.66</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>0.66</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>72.42</td>\n",
|
||
" <td>-0.25</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>73.18</td>\n",
|
||
" <td>-3.29</td>\n",
|
||
" <td>-2.32</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>1.57</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>88.42</td>\n",
|
||
" <td>-0.70</td>\n",
|
||
" <td>-0.66</td>\n",
|
||
" <td>-20.28</td>\n",
|
||
" <td>1.64</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0.75</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>72.43</td>\n",
|
||
" <td>-0.25</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>72.61</td>\n",
|
||
" <td>-3.23</td>\n",
|
||
" <td>-2.36</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>1.58</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>88.59</td>\n",
|
||
" <td>-0.51</td>\n",
|
||
" <td>-0.71</td>\n",
|
||
" <td>-20.14</td>\n",
|
||
" <td>1.88</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>5 rows × 24 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Timestamp (seconds passed) Lap/Event Unnamed: 2 SmO2 HBDiff \\\n",
|
||
"0 0.37 0 NaN 72.40 -0.26 \n",
|
||
"1 0.46 0 NaN 72.41 -0.26 \n",
|
||
"2 0.57 0 NaN 72.41 -0.26 \n",
|
||
"3 0.66 0 NaN 72.42 -0.25 \n",
|
||
"4 0.75 0 NaN 72.43 -0.25 \n",
|
||
"\n",
|
||
" Muscle state Muscle trend SmO2 unfiltered O2HB unfiltered \\\n",
|
||
"0 0 2 72.52 -3.27 \n",
|
||
"1 0 2 73.06 -3.27 \n",
|
||
"2 0 2 72.58 -3.31 \n",
|
||
"3 0 2 73.18 -3.29 \n",
|
||
"4 0 2 72.61 -3.23 \n",
|
||
"\n",
|
||
" HHb unfiltered ... SmO2.1 HBDiff.1 Muscle state.1 Muscle trend.1 \\\n",
|
||
"0 -2.29 ... 87.04 1.57 0 2 \n",
|
||
"1 -2.31 ... 87.04 1.57 0 2 \n",
|
||
"2 -2.25 ... 87.03 1.57 0 2 \n",
|
||
"3 -2.32 ... 87.03 1.57 0 2 \n",
|
||
"4 -2.36 ... 87.03 1.58 0 2 \n",
|
||
"\n",
|
||
" SmO2 unfiltered.1 O2HB unfiltered.1 HHb unfiltered.1 THb unfiltered.1 \\\n",
|
||
"0 86.46 -0.64 -0.74 -20.30 \n",
|
||
"1 86.66 -0.66 -0.66 -20.24 \n",
|
||
"2 86.81 -0.69 -0.67 -20.28 \n",
|
||
"3 88.42 -0.70 -0.66 -20.28 \n",
|
||
"4 88.59 -0.51 -0.71 -20.14 \n",
|
||
"\n",
|
||
" HBDiff unfiltered.1 Heart Rate (BPM).1 \n",
|
||
"0 1.78 72 \n",
|
||
"1 1.68 72 \n",
|
||
"2 1.66 72 \n",
|
||
"3 1.64 72 \n",
|
||
"4 1.88 72 \n",
|
||
"\n",
|
||
"[5 rows x 24 columns]"
|
||
]
|
||
},
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"oxygenation_2.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"id": "0a624fa0",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Index(['Timestamp (seconds passed)', 'Lap/Event', 'Unnamed: 2', 'SmO2',\n",
|
||
" 'HBDiff', 'Muscle state', 'Muscle trend', 'SmO2 unfiltered',\n",
|
||
" 'O2HB unfiltered', 'HHb unfiltered', 'THb unfiltered',\n",
|
||
" 'HBDiff unfiltered', 'Heart Rate (BPM)', 'Unnamed: 13', 'SmO2.1',\n",
|
||
" 'HBDiff.1', 'Muscle state.1', 'Muscle trend.1', 'SmO2 unfiltered.1',\n",
|
||
" 'O2HB unfiltered.1', 'HHb unfiltered.1', 'THb unfiltered.1',\n",
|
||
" 'HBDiff unfiltered.1', 'Heart Rate (BPM).1'],\n",
|
||
" dtype='object')"
|
||
]
|
||
},
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"oxygenation_2.columns"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "803c7174",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Train.Red SmO₂ Analysis\n",
|
||
"\n",
|
||
"Following the instructions from the PDF, we'll create a comprehensive muscle oxygenation plot with:\n",
|
||
"- Smoothed SmO₂ data for left and right legs\n",
|
||
"- Heart rate on secondary axis\n",
|
||
"- Stage annotations (warm-up, active laps, recovery)\n",
|
||
"- Recovery percentage calculations\n",
|
||
"- Optional breakpoint detection"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"id": "d18e5c4a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Data shape: (17020, 28)\n",
|
||
"Time range: 0.37 to 1702.26 seconds\n",
|
||
"Unique laps: [np.int64(0), np.int64(1), np.int64(2), np.int64(3), np.int64(4), np.int64(5), np.int64(6), np.int64(7)]\n",
|
||
"\n",
|
||
"First few rows:\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Timestamp (seconds passed)</th>\n",
|
||
" <th>Lap</th>\n",
|
||
" <th>Left_SmO2</th>\n",
|
||
" <th>Right_SmO2</th>\n",
|
||
" <th>Heart_Rate</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.37</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.40</td>\n",
|
||
" <td>87.04</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>0.46</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.41</td>\n",
|
||
" <td>87.04</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>0.57</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.41</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>0.66</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.42</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0.75</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.43</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>0.86</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.44</td>\n",
|
||
" <td>87.04</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>0.95</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.45</td>\n",
|
||
" <td>87.05</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>1.09</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.47</td>\n",
|
||
" <td>87.05</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>1.15</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.48</td>\n",
|
||
" <td>87.06</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>1.27</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>72.49</td>\n",
|
||
" <td>87.07</td>\n",
|
||
" <td>72</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Timestamp (seconds passed) Lap Left_SmO2 Right_SmO2 Heart_Rate\n",
|
||
"0 0.37 0 72.40 87.04 72\n",
|
||
"1 0.46 0 72.41 87.04 72\n",
|
||
"2 0.57 0 72.41 87.03 72\n",
|
||
"3 0.66 0 72.42 87.03 72\n",
|
||
"4 0.75 0 72.43 87.03 72\n",
|
||
"5 0.86 0 72.44 87.04 72\n",
|
||
"6 0.95 0 72.45 87.05 72\n",
|
||
"7 1.09 0 72.47 87.05 72\n",
|
||
"8 1.15 0 72.48 87.06 72\n",
|
||
"9 1.27 0 72.49 87.07 72"
|
||
]
|
||
},
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Step 1: Data Preparation\n",
|
||
"# Clean and prepare the oxygenation_2 dataframe\n",
|
||
"\n",
|
||
"# Rename columns for clarity\n",
|
||
"df_oxy = oxygenation_2.copy()\n",
|
||
"\n",
|
||
"# Convert timestamp to numeric\n",
|
||
"df_oxy['Timestamp (seconds passed)'] = pd.to_numeric(df_oxy['Timestamp (seconds passed)'], errors='coerce')\n",
|
||
"\n",
|
||
"# Convert SmO2 columns to numeric\n",
|
||
"df_oxy['Left_SmO2'] = pd.to_numeric(df_oxy['SmO2'], errors='coerce')\n",
|
||
"df_oxy['Right_SmO2'] = pd.to_numeric(df_oxy['SmO2.1'], errors='coerce')\n",
|
||
"df_oxy['Heart_Rate'] = pd.to_numeric(df_oxy['Heart Rate (BPM)'], errors='coerce')\n",
|
||
"df_oxy['Lap'] = pd.to_numeric(df_oxy['Lap/Event'], errors='coerce')\n",
|
||
"\n",
|
||
"# Drop rows with missing timestamps\n",
|
||
"df_oxy = df_oxy.dropna(subset=['Timestamp (seconds passed)'])\n",
|
||
"\n",
|
||
"# Sort by timestamp\n",
|
||
"df_oxy = df_oxy.sort_values('Timestamp (seconds passed)').reset_index(drop=True)\n",
|
||
"\n",
|
||
"print(f\"Data shape: {df_oxy.shape}\")\n",
|
||
"print(f\"Time range: {df_oxy['Timestamp (seconds passed)'].min():.2f} to {df_oxy['Timestamp (seconds passed)'].max():.2f} seconds\")\n",
|
||
"print(f\"Unique laps: {sorted(df_oxy['Lap'].dropna().unique())}\")\n",
|
||
"print(f\"\\nFirst few rows:\")\n",
|
||
"df_oxy[['Timestamp (seconds passed)', 'Lap', 'Left_SmO2', 'Right_SmO2', 'Heart_Rate']].head(10)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"id": "a6f97a9b",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Average sampling interval: 0.090 seconds\n",
|
||
"Estimated sampling frequency: 11.11 Hz\n",
|
||
"Smoothing window: 111 samples (~10 seconds)\n",
|
||
"\n",
|
||
"Smoothing complete!\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Timestamp (seconds passed)</th>\n",
|
||
" <th>Left_SmO2</th>\n",
|
||
" <th>Left_SmO2_smooth</th>\n",
|
||
" <th>Right_SmO2</th>\n",
|
||
" <th>Right_SmO2_smooth</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0.37</td>\n",
|
||
" <td>72.40</td>\n",
|
||
" <td>72.594643</td>\n",
|
||
" <td>87.04</td>\n",
|
||
" <td>87.107500</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>0.46</td>\n",
|
||
" <td>72.41</td>\n",
|
||
" <td>72.594386</td>\n",
|
||
" <td>87.04</td>\n",
|
||
" <td>87.105614</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>0.57</td>\n",
|
||
" <td>72.41</td>\n",
|
||
" <td>72.594138</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>87.103793</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>0.66</td>\n",
|
||
" <td>72.42</td>\n",
|
||
" <td>72.593898</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>87.101864</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0.75</td>\n",
|
||
" <td>72.43</td>\n",
|
||
" <td>72.593667</td>\n",
|
||
" <td>87.03</td>\n",
|
||
" <td>87.099833</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Timestamp (seconds passed) Left_SmO2 Left_SmO2_smooth Right_SmO2 \\\n",
|
||
"0 0.37 72.40 72.594643 87.04 \n",
|
||
"1 0.46 72.41 72.594386 87.04 \n",
|
||
"2 0.57 72.41 72.594138 87.03 \n",
|
||
"3 0.66 72.42 72.593898 87.03 \n",
|
||
"4 0.75 72.43 72.593667 87.03 \n",
|
||
"\n",
|
||
" Right_SmO2_smooth \n",
|
||
"0 87.107500 \n",
|
||
"1 87.105614 \n",
|
||
"2 87.103793 \n",
|
||
"3 87.101864 \n",
|
||
"4 87.099833 "
|
||
]
|
||
},
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Step 2: Apply 10-second rolling mean smoothing\n",
|
||
"# Following PDF instructions: centered 10 second rolling mean\n",
|
||
"\n",
|
||
"# Estimate sampling frequency\n",
|
||
"time_diffs = df_oxy['Timestamp (seconds passed)'].diff().dropna()\n",
|
||
"avg_sampling_interval = time_diffs.median()\n",
|
||
"sampling_freq = 1 / avg_sampling_interval if avg_sampling_interval > 0 else 10\n",
|
||
"window_samples = int(10 * sampling_freq) # 10 seconds worth of samples\n",
|
||
"\n",
|
||
"print(f\"Average sampling interval: {avg_sampling_interval:.3f} seconds\")\n",
|
||
"print(f\"Estimated sampling frequency: {sampling_freq:.2f} Hz\")\n",
|
||
"print(f\"Smoothing window: {window_samples} samples (~10 seconds)\")\n",
|
||
"\n",
|
||
"# Apply centered rolling mean\n",
|
||
"df_oxy['Left_SmO2_smooth'] = df_oxy['Left_SmO2'].rolling(window=window_samples, center=True, min_periods=1).mean()\n",
|
||
"df_oxy['Right_SmO2_smooth'] = df_oxy['Right_SmO2'].rolling(window=window_samples, center=True, min_periods=1).mean()\n",
|
||
"df_oxy['Heart_Rate_smooth'] = df_oxy['Heart_Rate'].rolling(window=window_samples, center=True, min_periods=1).mean()\n",
|
||
"\n",
|
||
"print(\"\\nSmoothing complete!\")\n",
|
||
"df_oxy[['Timestamp (seconds passed)', 'Left_SmO2', 'Left_SmO2_smooth', 'Right_SmO2', 'Right_SmO2_smooth']].head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"id": "e6943523",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Lap start times:\n",
|
||
" Lap 0: 0.37 seconds (0.01 minutes)\n",
|
||
" Lap 1: 256.54 seconds (4.28 minutes)\n",
|
||
" Lap 2: 495.34 seconds (8.26 minutes)\n",
|
||
" Lap 3: 735.03 seconds (12.25 minutes)\n",
|
||
" Lap 4: 976.45 seconds (16.27 minutes)\n",
|
||
" Lap 5: 1215.00 seconds (20.25 minutes)\n",
|
||
" Lap 6: 1454.76 seconds (24.25 minutes)\n",
|
||
" Lap 7: 1543.36 seconds (25.72 minutes)\n",
|
||
"\n",
|
||
"Stage breakdown:\n",
|
||
" Warm-up: 0 - 256.54 seconds\n",
|
||
" Active test: 256.54 - 1543.36 seconds\n",
|
||
" Recovery: 1543.36 - 1702.26 seconds\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Step 3: Identify test stages based on laps\n",
|
||
"# Find when each lap starts\n",
|
||
"\n",
|
||
"lap_changes = df_oxy[df_oxy['Lap'].diff() != 0].copy()\n",
|
||
"lap_starts = {}\n",
|
||
"\n",
|
||
"for idx, row in lap_changes.iterrows():\n",
|
||
" lap_num = int(row['Lap'])\n",
|
||
" lap_starts[lap_num] = row['Timestamp (seconds passed)']\n",
|
||
"\n",
|
||
"print(\"Lap start times:\")\n",
|
||
"for lap, time in sorted(lap_starts.items()):\n",
|
||
" print(f\" Lap {lap}: {time:.2f} seconds ({time/60:.2f} minutes)\")\n",
|
||
"\n",
|
||
"# Identify stages\n",
|
||
"# Assuming: Lap 0 = warm-up, Laps 1-6 = active test, Lap 7 = recovery\n",
|
||
"warm_up_end = lap_starts.get(1, df_oxy['Timestamp (seconds passed)'].max())\n",
|
||
"recovery_start = lap_starts.get(7, df_oxy['Timestamp (seconds passed)'].max())\n",
|
||
"\n",
|
||
"print(f\"\\nStage breakdown:\")\n",
|
||
"print(f\" Warm-up: 0 - {warm_up_end:.2f} seconds\")\n",
|
||
"print(f\" Active test: {warm_up_end:.2f} - {recovery_start:.2f} seconds\")\n",
|
||
"print(f\" Recovery: {recovery_start:.2f} - {df_oxy['Timestamp (seconds passed)'].max():.2f} seconds\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"id": "f4d26f1b",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Recovery Percentages:\n",
|
||
" Left Leg:\n",
|
||
" Warm-up avg: 75.37%\n",
|
||
" Recovery avg: 82.47%\n",
|
||
" Recovery: 109% of warm-up\n",
|
||
"\n",
|
||
" Right Leg:\n",
|
||
" Warm-up avg: 82.91%\n",
|
||
" Recovery avg: 80.03%\n",
|
||
" Recovery: 97% of warm-up\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Step 4: Calculate recovery percentages\n",
|
||
"# Average SmO2 over last 30 seconds of warm-up and recovery\n",
|
||
"\n",
|
||
"# Last 30 seconds of warm-up\n",
|
||
"warm_up_last_30_start = warm_up_end - 30\n",
|
||
"warm_up_mask = (df_oxy['Timestamp (seconds passed)'] >= warm_up_last_30_start) & \\\n",
|
||
" (df_oxy['Timestamp (seconds passed)'] <= warm_up_end)\n",
|
||
"\n",
|
||
"# Last 30 seconds of recovery\n",
|
||
"recovery_end = df_oxy['Timestamp (seconds passed)'].max()\n",
|
||
"recovery_last_30_start = recovery_end - 30\n",
|
||
"recovery_mask = (df_oxy['Timestamp (seconds passed)'] >= recovery_last_30_start) & \\\n",
|
||
" (df_oxy['Timestamp (seconds passed)'] <= recovery_end)\n",
|
||
"\n",
|
||
"# Calculate averages\n",
|
||
"left_warmup_avg = df_oxy.loc[warm_up_mask, 'Left_SmO2_smooth'].mean()\n",
|
||
"left_recovery_avg = df_oxy.loc[recovery_mask, 'Left_SmO2_smooth'].mean()\n",
|
||
"left_recovery_pct = round((left_recovery_avg / left_warmup_avg) * 100)\n",
|
||
"\n",
|
||
"right_warmup_avg = df_oxy.loc[warm_up_mask, 'Right_SmO2_smooth'].mean()\n",
|
||
"right_recovery_avg = df_oxy.loc[recovery_mask, 'Right_SmO2_smooth'].mean()\n",
|
||
"right_recovery_pct = round((right_recovery_avg / right_warmup_avg) * 100)\n",
|
||
"\n",
|
||
"print(\"Recovery Percentages:\")\n",
|
||
"print(f\" Left Leg:\")\n",
|
||
"print(f\" Warm-up avg: {left_warmup_avg:.2f}%\")\n",
|
||
"print(f\" Recovery avg: {left_recovery_avg:.2f}%\")\n",
|
||
"print(f\" Recovery: {left_recovery_pct}% of warm-up\")\n",
|
||
"print(f\"\\n Right Leg:\")\n",
|
||
"print(f\" Warm-up avg: {right_warmup_avg:.2f}%\")\n",
|
||
"print(f\" Recovery avg: {right_recovery_avg:.2f}%\")\n",
|
||
"print(f\" Recovery: {right_recovery_pct}% of warm-up\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"id": "bf54eda5",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": "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",
|
||
"text/plain": [
|
||
"<Figure size 1800x800 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"✓ Plot created successfully!\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Step 5: Create comprehensive SmO₂ plot following PDF instructions\n",
|
||
"\n",
|
||
"fig, ax1 = plt.subplots(figsize=(18, 8))\n",
|
||
"\n",
|
||
"# Plot SmO₂ data on primary axis\n",
|
||
"time = df_oxy['Timestamp (seconds passed)']\n",
|
||
"ax1.plot(time, df_oxy['Left_SmO2_smooth'], \n",
|
||
" label=f'Left SmO₂ (Rec {left_recovery_pct}% of warm-up)', \n",
|
||
" color='#2E86AB', linewidth=2)\n",
|
||
"ax1.plot(time, df_oxy['Right_SmO2_smooth'], \n",
|
||
" label=f'Right SmO₂ (Rec {right_recovery_pct}% of warm-up)', \n",
|
||
" color='#A23B72', linewidth=2)\n",
|
||
"\n",
|
||
"ax1.set_xlabel('Time (seconds)', fontsize=12, fontweight='bold')\n",
|
||
"ax1.set_ylabel('SmO₂ (%)', fontsize=12, fontweight='bold')\n",
|
||
"ax1.tick_params(axis='y', labelcolor='black')\n",
|
||
"ax1.grid(True, alpha=0.3, linestyle='--')\n",
|
||
"\n",
|
||
"# Add secondary axis for heart rate\n",
|
||
"ax2 = ax1.twinx()\n",
|
||
"ax2.plot(time, df_oxy['Heart_Rate_smooth'], \n",
|
||
" label='Heart Rate', \n",
|
||
" color='red', linewidth=1.5, linestyle='--', alpha=0.7)\n",
|
||
"ax2.set_ylabel('Heart Rate (BPM)', fontsize=12, fontweight='bold', color='red')\n",
|
||
"ax2.tick_params(axis='y', labelcolor='red')\n",
|
||
"\n",
|
||
"# Add shaded regions for stages\n",
|
||
"# Warm-up (light shade)\n",
|
||
"ax1.axvspan(0, warm_up_end, alpha=0.15, color='blue', label='Warm-up')\n",
|
||
"\n",
|
||
"# Active test laps (alternating shades)\n",
|
||
"active_laps = [1, 2, 3, 4, 5, 6]\n",
|
||
"colors_active = ['yellow', 'orange'] * 3\n",
|
||
"for i, lap in enumerate(active_laps):\n",
|
||
" start = lap_starts.get(lap, 0)\n",
|
||
" end = lap_starts.get(lap + 1, recovery_start) if lap < 6 else recovery_start\n",
|
||
" ax1.axvspan(start, end, alpha=0.1, color=colors_active[i])\n",
|
||
"\n",
|
||
"# Recovery (gray shade)\n",
|
||
"ax1.axvspan(recovery_start, df_oxy['Timestamp (seconds passed)'].max(), \n",
|
||
" alpha=0.2, color='gray', label='Recovery')\n",
|
||
"\n",
|
||
"# Add vertical line at recovery start\n",
|
||
"ax1.axvline(x=recovery_start, color='black', linestyle='-', linewidth=2, alpha=0.7)\n",
|
||
"\n",
|
||
"# Add lap labels\n",
|
||
"for lap in range(1, 7):\n",
|
||
" start = lap_starts.get(lap, 0)\n",
|
||
" end = lap_starts.get(lap + 1, recovery_start) if lap < 6 else recovery_start\n",
|
||
" mid = (start + end) / 2\n",
|
||
" ax1.text(mid, ax1.get_ylim()[1] * 0.97, f'Lap {lap}', \n",
|
||
" ha='center', va='top', fontsize=10, fontweight='bold', \n",
|
||
" bbox=dict(boxstyle='round,pad=0.3', facecolor='white', alpha=0.7))\n",
|
||
"\n",
|
||
"# Title and legends\n",
|
||
"plt.title('Train.Red SmO₂ Ramp - Muscle Oxygenation Analysis', \n",
|
||
" fontsize=16, fontweight='bold', pad=20)\n",
|
||
"\n",
|
||
"# Combine legends from both axes\n",
|
||
"lines1, labels1 = ax1.get_legend_handles_labels()\n",
|
||
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
|
||
"ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left', fontsize=10, framealpha=0.9)\n",
|
||
"\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.savefig(f'{base_dir}/graphs/muscle_oxygenation_plot.png', dpi=300, bbox_inches='tight')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"print(\"✓ Plot created successfully!\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"id": "128c9f3e",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"======================================================================\n",
|
||
"MUSCLE OXYGENATION ANALYSIS - KEY VALUES\n",
|
||
"======================================================================\n",
|
||
"\n",
|
||
"1. BASELINE (Warm-up averages):\n",
|
||
" Left SmO₂: 75.37%\n",
|
||
" Right SmO₂: 82.91%\n",
|
||
"\n",
|
||
"2. RECOVERY (Last 30 seconds):\n",
|
||
" Left SmO₂: 82.47% (109% of baseline)\n",
|
||
" Right SmO₂: 80.03% (97% of baseline)\n",
|
||
"\n",
|
||
"3. MINIMUM VALUES (During active test):\n",
|
||
" Left SmO₂: 69.34% at 1536.6s (Lap 6)\n",
|
||
" Right SmO₂: 73.65% at 1535.5s (Lap 6)\n",
|
||
"\n",
|
||
"4. MAXIMUM VALUES (During active test):\n",
|
||
" Left SmO₂: 78.24% at 915.2s (Lap 3)\n",
|
||
" Right SmO₂: 82.59% at 256.5s (Lap 1)\n",
|
||
"\n",
|
||
"5. OXYGENATION DROP (Baseline to Minimum):\n",
|
||
" Left SmO₂: 6.03% drop (8.0% decrease)\n",
|
||
" Right SmO₂: 9.26% drop (11.2% decrease)\n",
|
||
"\n",
|
||
"6. AVERAGE SmO₂ PER LAP:\n",
|
||
" Lap 1: Left=75.42%, Right=81.27%, HR=107.3 bpm\n",
|
||
" Lap 2: Left=76.51%, Right=81.76%, HR=118.8 bpm\n",
|
||
" Lap 3: Left=77.35%, Right=81.28%, HR=131.2 bpm\n",
|
||
" Lap 4: Left=76.98%, Right=79.66%, HR=145.2 bpm\n",
|
||
" Lap 5: Left=74.28%, Right=77.96%, HR=157.7 bpm\n",
|
||
" Lap 6: Left=71.27%, Right=75.98%, HR=165.0 bpm\n",
|
||
"\n",
|
||
"7. HEART RATE:\n",
|
||
" Warm-up avg: 93.2 bpm\n",
|
||
" Max during test: 168.2 bpm\n",
|
||
" Recovery avg: 107.7 bpm\n",
|
||
"\n",
|
||
"======================================================================\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Step 6: Extract key values and metrics from the test\n",
|
||
"\n",
|
||
"print(\"=\"*70)\n",
|
||
"print(\"MUSCLE OXYGENATION ANALYSIS - KEY VALUES\")\n",
|
||
"print(\"=\"*70)\n",
|
||
"\n",
|
||
"# 1. Baseline values (warm-up averages)\n",
|
||
"print(\"\\n1. BASELINE (Warm-up averages):\")\n",
|
||
"print(f\" Left SmO₂: {left_warmup_avg:.2f}%\")\n",
|
||
"print(f\" Right SmO₂: {right_warmup_avg:.2f}%\")\n",
|
||
"\n",
|
||
"# 2. Recovery values\n",
|
||
"print(\"\\n2. RECOVERY (Last 30 seconds):\")\n",
|
||
"print(f\" Left SmO₂: {left_recovery_avg:.2f}% ({left_recovery_pct}% of baseline)\")\n",
|
||
"print(f\" Right SmO₂: {right_recovery_avg:.2f}% ({right_recovery_pct}% of baseline)\")\n",
|
||
"\n",
|
||
"# 3. Minimum values during active test\n",
|
||
"active_mask = (df_oxy['Timestamp (seconds passed)'] >= warm_up_end) & \\\n",
|
||
" (df_oxy['Timestamp (seconds passed)'] <= recovery_start)\n",
|
||
"active_data = df_oxy[active_mask]\n",
|
||
"\n",
|
||
"left_min = active_data['Left_SmO2_smooth'].min()\n",
|
||
"left_min_time = active_data.loc[active_data['Left_SmO2_smooth'].idxmin(), 'Timestamp (seconds passed)']\n",
|
||
"left_min_lap = active_data.loc[active_data['Left_SmO2_smooth'].idxmin(), 'Lap']\n",
|
||
"\n",
|
||
"right_min = active_data['Right_SmO2_smooth'].min()\n",
|
||
"right_min_time = active_data.loc[active_data['Right_SmO2_smooth'].idxmin(), 'Timestamp (seconds passed)']\n",
|
||
"right_min_lap = active_data.loc[active_data['Right_SmO2_smooth'].idxmin(), 'Lap']\n",
|
||
"\n",
|
||
"print(\"\\n3. MINIMUM VALUES (During active test):\")\n",
|
||
"print(f\" Left SmO₂: {left_min:.2f}% at {left_min_time:.1f}s (Lap {int(left_min_lap)})\")\n",
|
||
"print(f\" Right SmO₂: {right_min:.2f}% at {right_min_time:.1f}s (Lap {int(right_min_lap)})\")\n",
|
||
"\n",
|
||
"# 4. Maximum values during active test\n",
|
||
"left_max = active_data['Left_SmO2_smooth'].max()\n",
|
||
"left_max_time = active_data.loc[active_data['Left_SmO2_smooth'].idxmax(), 'Timestamp (seconds passed)']\n",
|
||
"left_max_lap = active_data.loc[active_data['Left_SmO2_smooth'].idxmax(), 'Lap']\n",
|
||
"\n",
|
||
"right_max = active_data['Right_SmO2_smooth'].max()\n",
|
||
"right_max_time = active_data.loc[active_data['Right_SmO2_smooth'].idxmax(), 'Timestamp (seconds passed)']\n",
|
||
"right_max_lap = active_data.loc[active_data['Right_SmO2_smooth'].idxmax(), 'Lap']\n",
|
||
"\n",
|
||
"print(\"\\n4. MAXIMUM VALUES (During active test):\")\n",
|
||
"print(f\" Left SmO₂: {left_max:.2f}% at {left_max_time:.1f}s (Lap {int(left_max_lap)})\")\n",
|
||
"print(f\" Right SmO₂: {right_max:.2f}% at {right_max_time:.1f}s (Lap {int(right_max_lap)})\")\n",
|
||
"\n",
|
||
"# 5. Range/Drop during test\n",
|
||
"left_drop = left_warmup_avg - left_min\n",
|
||
"right_drop = right_warmup_avg - right_min\n",
|
||
"\n",
|
||
"print(\"\\n5. OXYGENATION DROP (Baseline to Minimum):\")\n",
|
||
"print(f\" Left SmO₂: {left_drop:.2f}% drop ({left_drop/left_warmup_avg*100:.1f}% decrease)\")\n",
|
||
"print(f\" Right SmO₂: {right_drop:.2f}% drop ({right_drop/right_warmup_avg*100:.1f}% decrease)\")\n",
|
||
"\n",
|
||
"# 6. Average values per lap\n",
|
||
"print(\"\\n6. AVERAGE SmO₂ PER LAP:\")\n",
|
||
"for lap in range(1, 7):\n",
|
||
" lap_mask = df_oxy['Lap'] == lap\n",
|
||
" lap_data = df_oxy[lap_mask]\n",
|
||
" if len(lap_data) > 0:\n",
|
||
" left_avg = lap_data['Left_SmO2_smooth'].mean()\n",
|
||
" right_avg = lap_data['Right_SmO2_smooth'].mean()\n",
|
||
" hr_avg = lap_data['Heart_Rate_smooth'].mean()\n",
|
||
" print(f\" Lap {lap}: Left={left_avg:.2f}%, Right={right_avg:.2f}%, HR={hr_avg:.1f} bpm\")\n",
|
||
"\n",
|
||
"# 7. Heart rate data\n",
|
||
"print(\"\\n7. HEART RATE:\")\n",
|
||
"hr_warmup = df_oxy[df_oxy['Timestamp (seconds passed)'] <= warm_up_end]['Heart_Rate_smooth'].mean()\n",
|
||
"hr_max = active_data['Heart_Rate_smooth'].max()\n",
|
||
"hr_recovery = df_oxy[recovery_mask]['Heart_Rate_smooth'].mean()\n",
|
||
"print(f\" Warm-up avg: {hr_warmup:.1f} bpm\")\n",
|
||
"print(f\" Max during test: {hr_max:.1f} bpm\")\n",
|
||
"print(f\" Recovery avg: {hr_recovery:.1f} bpm\")\n",
|
||
"\n",
|
||
"print(\"\\n\" + \"=\"*70)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"id": "e80da1c3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"======================================================================\n",
|
||
"ANALYSIS SUMMARY & INTERPRETATION\n",
|
||
"======================================================================\n",
|
||
"\n",
|
||
"📊 WHAT THE DATA SHOWS:\n",
|
||
"\n",
|
||
"1. MUSCLE OXYGEN PATTERNS:\n",
|
||
" • Both legs started with good oxygen levels (Left: 75.4%, Right: 82.9%)\n",
|
||
" • The right leg showed higher baseline oxygenation\n",
|
||
" • During the test, oxygen levels dropped as intensity increased\n",
|
||
" • Left leg dropped 6.0% and right leg dropped 9.3%\n",
|
||
"\n",
|
||
"2. LEG COMPARISON:\n",
|
||
" • Left leg maintained oxygen better (only 6.0% drop vs 9.3%)\n",
|
||
" • Right leg experienced more oxygen desaturation\n",
|
||
"\n",
|
||
"3. RECOVERY PERFORMANCE:\n",
|
||
" ✓ Excellent left leg recovery (109% - exceeded baseline!)\n",
|
||
" • Right leg recovered to 97% of baseline\n",
|
||
" ✓ Overall excellent recovery capacity\n",
|
||
"\n",
|
||
"4. INTENSITY PROGRESSION:\n",
|
||
" Heart rate increased steadily through the test:\n",
|
||
" Lap 1: 107 bpm\n",
|
||
" Lap 2: 119 bpm\n",
|
||
" Lap 3: 131 bpm\n",
|
||
" Lap 4: 145 bpm\n",
|
||
" Lap 5: 158 bpm\n",
|
||
" Lap 6: 165 bpm\n",
|
||
"\n",
|
||
"💡 TRAINING INSIGHTS:\n",
|
||
"\n",
|
||
"1. Oxygen Utilization:\n",
|
||
" ✓ Good oxygen extraction efficiency\n",
|
||
" → Muscles are effectively using available oxygen\n",
|
||
"\n",
|
||
"2. Endurance Capacity:\n",
|
||
" ✓ Maintained good oxygen levels through high intensity\n",
|
||
" → Strong aerobic capacity\n",
|
||
"\n",
|
||
"3. Recovery Ability:\n",
|
||
" Recovery period: 159 seconds (2.6 minutes)\n",
|
||
" ✓ Fast recovery - good cardiovascular fitness\n",
|
||
" → Can handle high-intensity training\n",
|
||
"\n",
|
||
"🎯 RECOMMENDATIONS:\n",
|
||
"\n",
|
||
"• Monitor the leg with larger oxygen drop for potential weakness\n",
|
||
"• Use these SmO₂ patterns to optimize training intensity zones\n",
|
||
"• Recovery percentages indicate readiness for next training session\n",
|
||
"• Consider interval training at intensities where oxygen starts to drop\n",
|
||
"\n",
|
||
"======================================================================\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Step 7: Analysis Summary and Interpretation\n",
|
||
"\n",
|
||
"print(\"=\"*70)\n",
|
||
"print(\"ANALYSIS SUMMARY & INTERPRETATION\")\n",
|
||
"print(\"=\"*70)\n",
|
||
"\n",
|
||
"print(\"\\n📊 WHAT THE DATA SHOWS:\")\n",
|
||
"print(\"\\n1. MUSCLE OXYGEN PATTERNS:\")\n",
|
||
"print(f\" • Both legs started with good oxygen levels (Left: {left_warmup_avg:.1f}%, Right: {right_warmup_avg:.1f}%)\")\n",
|
||
"print(f\" • The right leg showed higher baseline oxygenation\")\n",
|
||
"print(f\" • During the test, oxygen levels dropped as intensity increased\")\n",
|
||
"print(f\" • Left leg dropped {left_drop:.1f}% and right leg dropped {right_drop:.1f}%\")\n",
|
||
"\n",
|
||
"print(\"\\n2. LEG COMPARISON:\")\n",
|
||
"if abs(left_drop - right_drop) > 2:\n",
|
||
" if left_drop < right_drop:\n",
|
||
" print(f\" • Left leg maintained oxygen better (only {left_drop:.1f}% drop vs {right_drop:.1f}%)\")\n",
|
||
" print(f\" • Right leg experienced more oxygen desaturation\")\n",
|
||
" else:\n",
|
||
" print(f\" • Right leg maintained oxygen better (only {right_drop:.1f}% drop vs {left_drop:.1f}%)\")\n",
|
||
" print(f\" • Left leg experienced more oxygen desaturation\")\n",
|
||
"else:\n",
|
||
" print(f\" • Both legs showed similar oxygen patterns (balanced)\")\n",
|
||
"\n",
|
||
"print(\"\\n3. RECOVERY PERFORMANCE:\")\n",
|
||
"if left_recovery_pct > 100:\n",
|
||
" print(f\" ✓ Excellent left leg recovery ({left_recovery_pct}% - exceeded baseline!)\")\n",
|
||
"else:\n",
|
||
" print(f\" • Left leg recovered to {left_recovery_pct}% of baseline\")\n",
|
||
"\n",
|
||
"if right_recovery_pct > 100:\n",
|
||
" print(f\" ✓ Excellent right leg recovery ({right_recovery_pct}% - exceeded baseline!)\")\n",
|
||
"else:\n",
|
||
" print(f\" • Right leg recovered to {right_recovery_pct}% of baseline\")\n",
|
||
"\n",
|
||
"avg_recovery = (left_recovery_pct + right_recovery_pct) / 2\n",
|
||
"if avg_recovery >= 100:\n",
|
||
" print(f\" ✓ Overall excellent recovery capacity\")\n",
|
||
"elif avg_recovery >= 95:\n",
|
||
" print(f\" ✓ Good recovery capacity\")\n",
|
||
"else:\n",
|
||
" print(f\" ⚠ Recovery may need attention (avg {avg_recovery:.0f}%)\")\n",
|
||
"\n",
|
||
"print(\"\\n4. INTENSITY PROGRESSION:\")\n",
|
||
"print(\" Heart rate increased steadily through the test:\")\n",
|
||
"for lap in range(1, 7):\n",
|
||
" lap_mask = df_oxy['Lap'] == lap\n",
|
||
" lap_hr = df_oxy[lap_mask]['Heart_Rate_smooth'].mean()\n",
|
||
" print(f\" Lap {lap}: {lap_hr:.0f} bpm\")\n",
|
||
"\n",
|
||
"print(\"\\n💡 TRAINING INSIGHTS:\")\n",
|
||
"print(\"\\n1. Oxygen Utilization:\")\n",
|
||
"if left_drop < 10 and right_drop < 10:\n",
|
||
" print(\" ✓ Good oxygen extraction efficiency\")\n",
|
||
" print(\" → Muscles are effectively using available oxygen\")\n",
|
||
"else:\n",
|
||
" print(\" ⚠ Significant oxygen desaturation observed\")\n",
|
||
" print(\" → May indicate approaching oxygen delivery limits\")\n",
|
||
"\n",
|
||
"print(\"\\n2. Endurance Capacity:\")\n",
|
||
"# Check if oxygen drops significantly in later laps\n",
|
||
"lap5_left = df_oxy[df_oxy['Lap'] == 5]['Left_SmO2_smooth'].mean()\n",
|
||
"lap5_right = df_oxy[df_oxy['Lap'] == 5]['Right_SmO2_smooth'].mean()\n",
|
||
"if (lap5_left > left_warmup_avg - 5) or (lap5_right > right_warmup_avg - 5):\n",
|
||
" print(\" ✓ Maintained good oxygen levels through high intensity\")\n",
|
||
" print(\" → Strong aerobic capacity\")\n",
|
||
"else:\n",
|
||
" print(\" • Oxygen levels decreased progressively with intensity\")\n",
|
||
" print(\" → Normal response to increasing workload\")\n",
|
||
"\n",
|
||
"print(\"\\n3. Recovery Ability:\")\n",
|
||
"recovery_time_sec = df_oxy['Timestamp (seconds passed)'].max() - recovery_start\n",
|
||
"print(f\" Recovery period: {recovery_time_sec:.0f} seconds ({recovery_time_sec/60:.1f} minutes)\")\n",
|
||
"if avg_recovery > 95:\n",
|
||
" print(\" ✓ Fast recovery - good cardiovascular fitness\")\n",
|
||
" print(\" → Can handle high-intensity training\")\n",
|
||
"else:\n",
|
||
" print(\" • Moderate recovery observed\")\n",
|
||
" print(\" → Consider extending rest periods between hard efforts\")\n",
|
||
"\n",
|
||
"print(\"\\n🎯 RECOMMENDATIONS:\")\n",
|
||
"print(\"\\n• Monitor the leg with larger oxygen drop for potential weakness\")\n",
|
||
"print(\"• Use these SmO₂ patterns to optimize training intensity zones\")\n",
|
||
"print(\"• Recovery percentages indicate readiness for next training session\")\n",
|
||
"print(\"• Consider interval training at intensities where oxygen starts to drop\")\n",
|
||
"\n",
|
||
"print(\"\\n\" + \"=\"*70)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"id": "fbeb6168",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"✓ Summary data exported to: /home/oluwasanmi/Documents/Work/MKD/report_generation/notebooks/oxygenation_2_output.csv\n",
|
||
"\n",
|
||
"Summary Table:\n",
|
||
" Metric Value\n",
|
||
" Left Baseline SmO2 (%) 75.37\n",
|
||
" Right Baseline SmO2 (%) 82.91\n",
|
||
" Left Minimum SmO2 (%) 69.34\n",
|
||
" Right Minimum SmO2 (%) 73.65\n",
|
||
" Left Maximum SmO2 (%) 78.24\n",
|
||
" Right Maximum SmO2 (%) 82.59\n",
|
||
" Left Recovery SmO2 (%) 82.47\n",
|
||
" Right Recovery SmO2 (%) 80.03\n",
|
||
" Left Recovery Percentage (%) 109\n",
|
||
"Right Recovery Percentage (%) 97\n",
|
||
" Left Oxygen Drop (%) 6.03\n",
|
||
" Right Oxygen Drop (%) 9.26\n",
|
||
" Warmup HR (bpm) 93.2\n",
|
||
" Maximum HR (bpm) 168.2\n",
|
||
" Recovery HR (bpm) 107.7\n",
|
||
" Test Duration (seconds) 1287\n",
|
||
" Recovery Duration (seconds) 159\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Step 8: Export summary data to CSV for reporting\n",
|
||
"\n",
|
||
"# Create summary dataframe\n",
|
||
"summary_data = {\n",
|
||
" 'Metric': [\n",
|
||
" 'Left Baseline SmO2 (%)',\n",
|
||
" 'Right Baseline SmO2 (%)',\n",
|
||
" 'Left Minimum SmO2 (%)',\n",
|
||
" 'Right Minimum SmO2 (%)',\n",
|
||
" 'Left Maximum SmO2 (%)',\n",
|
||
" 'Right Maximum SmO2 (%)',\n",
|
||
" 'Left Recovery SmO2 (%)',\n",
|
||
" 'Right Recovery SmO2 (%)',\n",
|
||
" 'Left Recovery Percentage (%)',\n",
|
||
" 'Right Recovery Percentage (%)',\n",
|
||
" 'Left Oxygen Drop (%)',\n",
|
||
" 'Right Oxygen Drop (%)',\n",
|
||
" 'Warmup HR (bpm)',\n",
|
||
" 'Maximum HR (bpm)',\n",
|
||
" 'Recovery HR (bpm)',\n",
|
||
" 'Test Duration (seconds)',\n",
|
||
" 'Recovery Duration (seconds)',\n",
|
||
" ],\n",
|
||
" 'Value': [\n",
|
||
" f\"{left_warmup_avg:.2f}\",\n",
|
||
" f\"{right_warmup_avg:.2f}\",\n",
|
||
" f\"{left_min:.2f}\",\n",
|
||
" f\"{right_min:.2f}\",\n",
|
||
" f\"{left_max:.2f}\",\n",
|
||
" f\"{right_max:.2f}\",\n",
|
||
" f\"{left_recovery_avg:.2f}\",\n",
|
||
" f\"{right_recovery_avg:.2f}\",\n",
|
||
" f\"{left_recovery_pct}\",\n",
|
||
" f\"{right_recovery_pct}\",\n",
|
||
" f\"{left_drop:.2f}\",\n",
|
||
" f\"{right_drop:.2f}\",\n",
|
||
" f\"{hr_warmup:.1f}\",\n",
|
||
" f\"{hr_max:.1f}\",\n",
|
||
" f\"{hr_recovery:.1f}\",\n",
|
||
" f\"{recovery_start - warm_up_end:.0f}\",\n",
|
||
" f\"{df_oxy['Timestamp (seconds passed)'].max() - recovery_start:.0f}\",\n",
|
||
" ]\n",
|
||
"}\n",
|
||
"\n",
|
||
"summary_df = pd.DataFrame(summary_data)\n",
|
||
"\n",
|
||
"# Save to CSV\n",
|
||
"output_path = f'{base_dir}/notebooks/oxygenation_2_output.csv'\n",
|
||
"summary_df.to_csv(output_path, index=False)\n",
|
||
"\n",
|
||
"print(\"✓ Summary data exported to:\", output_path)\n",
|
||
"print(\"\\nSummary Table:\")\n",
|
||
"print(summary_df.to_string(index=False))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "f383e0a8",
|
||
"metadata": {},
|
||
"source": [
|
||
"## ✅ Analysis Complete!\n",
|
||
"\n",
|
||
"**Outputs Generated:**\n",
|
||
"1. **Graph**: `graphs/muscle_oxygenation_plot.png` - Comprehensive SmO₂ visualization with:\n",
|
||
" - Left and right leg muscle oxygenation (smoothed)\n",
|
||
" - Heart rate on secondary axis\n",
|
||
" - Stage shading (warm-up, active laps, recovery)\n",
|
||
" - Recovery percentages in legend\n",
|
||
" \n",
|
||
"2. **Data**: `notebooks/oxygenation_2_output.csv` - All key metrics exported\n",
|
||
"\n",
|
||
"**Key Findings:**\n",
|
||
"- Left leg showed better oxygen maintenance (6% drop vs 9.3% for right)\n",
|
||
"- Excellent recovery capacity (109% left, 97% right)\n",
|
||
"- Strong aerobic capacity maintained through high intensity\n",
|
||
"- Heart rate progressed steadily from 107 to 165 bpm\n",
|
||
"\n",
|
||
"The analysis follows the PDF instructions for Train.Red SmO₂ ramp testing, including 10-second smoothing, stage identification, and recovery percentage calculations."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d8dfb3fa",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Integration with Report Generator\n",
|
||
"\n",
|
||
"The muscle oxygenation graph generation has been integrated into the report generation system:\n",
|
||
"\n",
|
||
"1. **GraphGenerator** method: `generate_muscle_oxygenation_chart(oxygenation_df, save_as_base64=True)`\n",
|
||
" - Returns: tuple of (base64_chart_string, metrics_dict)\n",
|
||
" \n",
|
||
"2. **ContextGenerator** now accepts `oxygenation_path` parameter in `load_data()`\n",
|
||
"\n",
|
||
"3. **Page 12** automatically includes:\n",
|
||
" - Full muscle oxygenation chart showing both legs\n",
|
||
" - Key metrics for both legs (baseline, minimum, drop, recovery)\n",
|
||
" - Heart rate data\n",
|
||
" - Summary findings\n",
|
||
"\n",
|
||
"The system will automatically generate the chart when an oxygenation CSV file is provided during report generation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"id": "a9064ffe",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"✅ Graph generation successful!\n",
|
||
"\n",
|
||
"Chart size: 871248 characters (base64)\n",
|
||
"\n",
|
||
"Metrics extracted:\n",
|
||
" left_baseline_smo2: 75.4%\n",
|
||
" right_baseline_smo2: 82.9%\n",
|
||
" left_minimum_smo2: 69.3%\n",
|
||
" right_minimum_smo2: 73.7%\n",
|
||
" left_minimum_lap: Lap 6\n",
|
||
" right_minimum_lap: Lap 6\n",
|
||
" left_oxygen_drop: 6.0%\n",
|
||
" right_oxygen_drop: 9.3%\n",
|
||
" left_drop_percentage: 8% decrease\n",
|
||
" right_drop_percentage: 11% decrease\n",
|
||
" left_recovery_percentage: 109%\n",
|
||
" right_recovery_percentage: 97%\n",
|
||
" hr_warmup: 93\n",
|
||
" hr_max: 168\n",
|
||
" test_duration: ~21 minutes active test\n",
|
||
" recovery_assessment: Excellent recovery capacity\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Test the GraphGenerator integration\n",
|
||
"import sys\n",
|
||
"import os\n",
|
||
"import pandas as pd\n",
|
||
"\n",
|
||
"# Set base_dir if not already defined\n",
|
||
"try:\n",
|
||
" base_dir\n",
|
||
"except NameError:\n",
|
||
" base_dir = os.path.dirname(os.path.abspath('.'))\n",
|
||
"\n",
|
||
"# Load oxygenation data if not already loaded\n",
|
||
"try:\n",
|
||
" oxygenation_2\n",
|
||
"except NameError:\n",
|
||
" print(\"Loading oxygenation data...\")\n",
|
||
" oxygenation_2 = pd.read_csv(f'{base_dir}/data/muscle_oxygenation.csv', skiprows=445)\n",
|
||
"\n",
|
||
"sys.path.append(f'{base_dir}/app')\n",
|
||
"\n",
|
||
"from services.graph_generator import GraphGenerator\n",
|
||
"\n",
|
||
"# Initialize the graph generator\n",
|
||
"graph_gen = GraphGenerator(charts_dir=f'{base_dir}/graphs')\n",
|
||
"\n",
|
||
"# Generate the chart using the same dataframe\n",
|
||
"try:\n",
|
||
" chart_b64, metrics = graph_gen.generate_muscle_oxygenation_chart(\n",
|
||
" oxygenation_2, \n",
|
||
" save_as_base64=True\n",
|
||
" )\n",
|
||
" \n",
|
||
" print(\"✅ Graph generation successful!\")\n",
|
||
" print(f\"\\nChart size: {len(chart_b64)} characters (base64)\")\n",
|
||
" print(f\"\\nMetrics extracted:\")\n",
|
||
" for key, value in metrics.items():\n",
|
||
" print(f\" {key}: {value}\")\n",
|
||
" \n",
|
||
"except Exception as e:\n",
|
||
" print(f\"❌ Error: {e}\")\n",
|
||
" import traceback\n",
|
||
" traceback.print_exc()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "7886483b",
|
||
"metadata": {},
|
||
"source": [
|
||
"## ✅ Integration Complete!\n",
|
||
"\n",
|
||
"The muscle oxygenation analysis has been successfully integrated into the report generation system.\n",
|
||
"\n",
|
||
"### What was implemented:\n",
|
||
"\n",
|
||
"1. **GraphGenerator Method** (`app/services/graph_generator.py`):\n",
|
||
" - Added `generate_muscle_oxygenation_chart()` method\n",
|
||
" - Processes Train.Red CSV data (with 10-second smoothing)\n",
|
||
" - Generates comprehensive chart with both legs and heart rate\n",
|
||
" - Returns both base64 image and extracted metrics dictionary\n",
|
||
"\n",
|
||
"2. **ContextGenerator Updates** (`app/services/context_generator.py`):\n",
|
||
" - Added `oxygenation_df` attribute\n",
|
||
" - Updated `load_data()` to accept optional `oxygenation_path` parameter\n",
|
||
" - Page 12 context now includes muscle oxygenation chart and all metrics\n",
|
||
"\n",
|
||
"3. **Page 12 Template** (`app/report_gen/page_12.html`):\n",
|
||
" - Replaced two separate leg charts with single comprehensive chart\n",
|
||
" - Added side-by-side metric cards for both legs\n",
|
||
" - Displays all key values: baseline, minimum, drop, recovery\n",
|
||
" - Includes summary findings section\n",
|
||
"\n",
|
||
"4. **Report Generation Pipeline** (`app/services/report_generator.py`, `app/main.py`):\n",
|
||
" - Updated to pass oxygenation CSV path through the system\n",
|
||
" - Automatically generates chart when oxygenation data is provided\n",
|
||
"\n",
|
||
"### How to use:\n",
|
||
"\n",
|
||
"When generating a report, simply provide the muscle oxygenation CSV file (Train.Red format), and the system will:\n",
|
||
"- Automatically load and process the data\n",
|
||
"- Generate the comprehensive visualization\n",
|
||
"- Extract all key metrics\n",
|
||
"- Include everything in Page 12 of the report\n",
|
||
"\n",
|
||
"No manual intervention required - it's fully automated!"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "a3486652",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": ".venv",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|