diff --git a/graphs/tsi_second_vs_time.png b/graphs/tsi_second_vs_time.png
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diff --git a/graphs/tsi_vs_time.png b/graphs/tsi_vs_time.png
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diff --git a/notebook.ipynb b/notebook.ipynb
index 24f119e..f2c52ec 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1742,7 +1742,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 61,
    "id": "bc6610a7",
    "metadata": {},
    "outputs": [
@@ -2374,6 +2374,266 @@
     "    else:\n",
     "        print(\"\\nNote: The calculated value differs from 33%. This is likely due to the actual measured RER being slightly different from the exact 0.80 benchmark.\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "7b7056b1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "oxygenation = pd.read_csv('data/Keirstyn Train Red NIRS Muscle Oxygen.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "11490430",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Column names:\n",
+      "['Time', 'TSI', 'TSI-second', 'HbDiff-second', 'HbDiff', 'MuscleState-second', 'MuscleState']\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>Time</th>\n",
+       "      <th>TSI</th>\n",
+       "      <th>TSI-second</th>\n",
+       "      <th>HbDiff-second</th>\n",
+       "      <th>HbDiff</th>\n",
+       "      <th>MuscleState-second</th>\n",
+       "      <th>MuscleState</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10</td>\n",
+       "      <td>78.78</td>\n",
+       "      <td>75.52</td>\n",
+       "      <td>-3.809</td>\n",
+       "      <td>-0.080</td>\n",
+       "      <td>226</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20</td>\n",
+       "      <td>77.90</td>\n",
+       "      <td>75.55</td>\n",
+       "      <td>-3.872</td>\n",
+       "      <td>-0.278</td>\n",
+       "      <td>8</td>\n",
+       "      <td>151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>30</td>\n",
+       "      <td>77.52</td>\n",
+       "      <td>75.64</td>\n",
+       "      <td>-3.664</td>\n",
+       "      <td>-0.134</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>40</td>\n",
+       "      <td>77.31</td>\n",
+       "      <td>75.84</td>\n",
+       "      <td>-3.664</td>\n",
+       "      <td>-0.428</td>\n",
+       "      <td>15</td>\n",
+       "      <td>139</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>50</td>\n",
+       "      <td>77.79</td>\n",
+       "      <td>76.30</td>\n",
+       "      <td>-3.401</td>\n",
+       "      <td>-0.027</td>\n",
+       "      <td>17</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>60</td>\n",
+       "      <td>78.16</td>\n",
+       "      <td>75.93</td>\n",
+       "      <td>-3.448</td>\n",
+       "      <td>-0.006</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>70</td>\n",
+       "      <td>77.80</td>\n",
+       "      <td>75.83</td>\n",
+       "      <td>-3.496</td>\n",
+       "      <td>-0.141</td>\n",
+       "      <td>56</td>\n",
+       "      <td>69</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>80</td>\n",
+       "      <td>77.47</td>\n",
+       "      <td>76.08</td>\n",
+       "      <td>-3.298</td>\n",
+       "      <td>-0.147</td>\n",
+       "      <td>17</td>\n",
+       "      <td>49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>90</td>\n",
+       "      <td>78.10</td>\n",
+       "      <td>76.68</td>\n",
+       "      <td>-2.652</td>\n",
+       "      <td>0.251</td>\n",
+       "      <td>34</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>100</td>\n",
+       "      <td>78.81</td>\n",
+       "      <td>76.49</td>\n",
+       "      <td>-2.609</td>\n",
+       "      <td>0.541</td>\n",
+       "      <td>30</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Time    TSI  TSI-second  HbDiff-second  HbDiff  MuscleState-second  \\\n",
+       "0    10  78.78       75.52         -3.809  -0.080                 226   \n",
+       "1    20  77.90       75.55         -3.872  -0.278                   8   \n",
+       "2    30  77.52       75.64         -3.664  -0.134                   9   \n",
+       "3    40  77.31       75.84         -3.664  -0.428                  15   \n",
+       "4    50  77.79       76.30         -3.401  -0.027                  17   \n",
+       "5    60  78.16       75.93         -3.448  -0.006                   1   \n",
+       "6    70  77.80       75.83         -3.496  -0.141                  56   \n",
+       "7    80  77.47       76.08         -3.298  -0.147                  17   \n",
+       "8    90  78.10       76.68         -2.652   0.251                  34   \n",
+       "9   100  78.81       76.49         -2.609   0.541                  30   \n",
+       "\n",
+       "   MuscleState  \n",
+       "0            7  \n",
+       "1          151  \n",
+       "2            3  \n",
+       "3          139  \n",
+       "4           53  \n",
+       "5           14  \n",
+       "6           69  \n",
+       "7           49  \n",
+       "8           17  \n",
+       "9           40  "
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Examine the oxygenation dataframe\n",
+    "print(\"Column names:\")\n",
+    "print(oxygenation.columns.tolist())\n",
+    "print(\"\\nFirst few rows:\")\n",
+    "oxygenation.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "8fbbf55d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert time from seconds to minutes\n",
+    "oxygenation['Time_minutes'] = oxygenation['Time'] / 60\n",
+    "\n",
+    "# Graph 1: TSI against Time\n",
+    "plt.figure(figsize=(14, 5))\n",
+    "plt.plot(oxygenation['Time_minutes'], oxygenation['TSI'], linewidth=2, color='purple', \n",
+    "         marker='o', markersize=4, label='TSI')\n",
+    "plt.xlabel('Time (minutes)', fontsize=12)\n",
+    "plt.ylabel('TSI (%)', fontsize=12)\n",
+    "plt.title('Tissue Saturation Index (TSI) vs Time', fontsize=14, fontweight='bold')\n",
+    "plt.ylim(0, 100)\n",
+    "plt.grid(True, alpha=0.3)\n",
+    "plt.legend(loc='upper right', fontsize=11)\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('graphs/tsi_vs_time.png', dpi=300, bbox_inches='tight')\n",
+    "plt.show()\n",
+    "\n",
+    "# Graph 2: TSI-second against Time\n",
+    "plt.figure(figsize=(14, 5))\n",
+    "plt.plot(oxygenation['Time_minutes'], oxygenation['TSI-second'], linewidth=2, color='purple', \n",
+    "         marker='o', markersize=4, label='TSI-second')\n",
+    "plt.xlabel('Time (minutes)', fontsize=12)\n",
+    "plt.ylabel('TSI-second (%)', fontsize=12)\n",
+    "plt.title('Tissue Saturation Index Second Sensor (TSI-second) vs Time', fontsize=14, fontweight='bold')\n",
+    "plt.ylim(0, 100)\n",
+    "plt.grid(True, alpha=0.3)\n",
+    "plt.legend(loc='upper right', fontsize=11)\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('graphs/tsi_second_vs_time.png', dpi=300, bbox_inches='tight')\n",
+    "plt.show()"
+   ]
   }
  ],
  "metadata": {