75 lines
7.2 KiB
Plaintext
75 lines
7.2 KiB
Plaintext
|
Ë
|
|||
|
|
‚l)i› ã
|
|||
|
|
ó° — d dl Zd dlZd„ Zd„ Zd„ Zd„ Zd„ Zd„ Z dd„Z
|
|||
|
|
e
|
|||
|
|
d d
|
|||
|
|
d d d
|
|||
|
|
ddd¬« Z e j « D ] \ Z
|
|||
|
|
Z ee
|
|||
|
|
› de› �« Œ y)é Nc óv — d| z d|z z d|z z
|
|||
|
|
}|j « j d« r|dz S |dz
|
|||
|
|
S )zQ
|
|||
|
|
Compute predicted RMR with Mifflin St Jeor.
|
|||
|
|
sex: 'male' or 'female'
|
|||
|
|
g $@g @g @Úmg d@)ÚlowerÚ
|
|||
|
|
startswith)Ú weight_kgÚ height_cmÚ age_yearsÚsexÚbases úM/home/oluwasanmi/Documents/Work/MKD/report_generation/notebooks/gemini_rer.pyÚmifflin_st_jeorr
|
|||
|
|
sI € ð
|
|||
|
|
�)Ñ ˜d YÑ .Ñ .°°y± Ñ @€DØ
|
|||
|
|
‡y�yƒ{× Ñ ˜cÔ"Ø�c‰zÐà�e‰|Ðó c óp — | |z }|dk rd}||fS |dk rd}||fS |dk rd}||fS |dk rd}||fS d }||fS )
|
|||
|
|
zU
|
|||
|
|
Classify metabolic rate relative to prediction.
|
|||
|
|
Returns (label, ratio).
|
|||
|
|
gffffffæ?z very slowgÍÌÌÌÌÌì?Úslowgš™™™™™ñ?ÚaveragegÍÌÌÌÌÌô?Úfastz very fast© )Úmeasured_kcal_dayÚpredicted_kcal_dayÚratioÚlabels r Úclassify_metabolismr s† € ð
|
|||
|
|
|
|||
|
|
Ð 2Ñ 2€Eà ˆt‚|؈ð �%ˆ<Ðð
|
|||
|
|
�Š ؈ð �%ˆ<Ðð
|
|||
|
|
�$Š ؈ð �%ˆ<Ðð
|
|||
|
|
�$Š ؈ð �%ˆ<Ðð ˆà �%ˆ<Ðr c ó¨ — | d j « j « }|�|dk r t d« ‚t t d|z « « }|dk rd}|S )zB
|
|||
|
|
Derive number of samples that represent about 2 minutes.
|
|||
|
|
úT(sec)r zInvalid time step in T(sec)g ^@é )ÚdiffÚmedianÚ
|
|||
|
|
ValueErrorÚintÚround)ÚdfÚdtÚsampless r Úfind_sampling_windowr$ & sZ € ð
|
|||
|
|
ˆH‰ × Ñ Ó × #Ñ #Ó %€BØ €z�R˜1’WÜÐ6Ó7Ð7ä”%˜ ™
|
|||
|
|
Ó#Ó$€GØ�‚{ØˆØ €Nr c óÜ — g d¢}g d¢}| | j ||¬« j « }| | j ||¬« j « }|j dd¬« }|j « j « }|j | j « }t ||z
|
|||
|
|
dz d« } |}
|
|||
|
|
t | d j | « } t | d j |
|
|||
|
|
« } || | fS ) z‚
|
|||
|
|
Find the most stable 2-minute window using rolling standard deviation.
|
|||
|
|
Returns:
|
|||
|
|
means_series, t_start, t_end
|
|||
|
|
© ú VO2(ml/min)ú VCO2(ml/min)ú VE(l/min)úVT(l)úBF(bpm)ú EE(kcal/min)ÚRERúCARBS(%)úFAT(%))r' r( r) r* r+ )Ú min_periodsr F)ÚaxisÚskipnar r ) ÚrollingÚmeanÚstdÚsumÚdropnaÚidxminÚlocÚcopyÚmaxÚfloatÚiloc)
|
|||
|
|
r! Úwindow_samplesÚ cols_meanÚcols_stdÚ roll_meanÚroll_stdÚstability_scoreÚbest_idxÚ means_seriesÚ start_idxÚend_idxÚt_startÚt_ends
|
|||
|
|
r Úrolling_stable_windowrJ 4 sô € ò
|
|||
|
|
€Iò€Hð �9‘
|
|||
|
|
×%Ñ% nÀ.Ð%ÓQ×VÑVÓX€IØ�(‰|×#Ñ# NÀÐ#ÓO×SÑSÓU€Hð —l‘l¨°%�lÓ8€Oð ×%Ñ%Ó'×.Ñ.Ó0€Hà —=‘= Ñ*×/Ñ/Ó1€Lä�H˜~Ñ-°Ñ1°1Ó5€IØ€Gä�B�x‘L×%Ñ% iÑ0Ó1€GÜ �"�X‘,×#Ñ# GÑ,Ó -€Eà ˜ %Ð 'Ð'r c óè — | d |k\ | d |k z }| j | j « }|j r t d« ‚g d¢}|| j « }|t |« t |« fS )zA
|
|||
|
|
Compute mean values inside a user-selected time window.
|
|||
|
|
r z-Manual window has no rows inside T(sec) ranger& )r9 r: Úemptyr r4 r< )r! rH rI ÚmaskÚslice_dfÚcolsÚmeanss r Úmanual_window_meansrQ b sy € ð
|
|||
|
|
ˆx‰L˜GÑ #¨¨8© ¸Ñ(=Ñ >€DØ�v‰v�d‰|× Ñ Ó"€Hà‡~‚~ÜÐHÓIÐIò
|
|||
|
|
€Dð
|
|||
|
|
�T‰N× Ñ Ó !€EØ ”%˜“.¤%¨£,Ð .Ð.r c óÌ — t j | d¬« }g d¢}|D ] }t j || d¬« ||< Œ! |j ddg¬« j d ¬
|
|||
|
|
« }|S ) z)
|
|||
|
|
Load and clean a PNOE CSV file.
|
|||
|
|
ú;)Úsep)
|
|||
|
|
r r' r( r- r) r* r+ r, r. r/ Úcoerce)Úerrorsr' r, )ÚsubsetT)Údrop)ÚpdÚread_csvÚ
|
|||
|
|
to_numericr7 Ú reset_index)Úpathr! Ú numeric_colsÚcols r Ú
|
|||
|
|
load_pnoe_csvr` | si € ô
|
|||
|
|
�‰�T˜sÔ #€Bò €Ló ˆÜ—-‘- 3¡°Ô9ˆˆ3Šð ð
|
|||
|
|
�‰˜=¨.Ð9ˆÓ :× FÑ FÈDÐ FÓ Q€BØ
|
|||
|
|
€Ir c óž — t | « }t |« } t || « \ }
|
|||
|
|
} } d}
|
|||
|
|
d}d}|� |\ }}t |||« \ }
|
|||
|
|
}}d}|
|
|||
|
|
}|}|}nd}|
|
|||
|
|
}| }| }t |d « }|dz }t ||||« }t
|
|||
|
|
||« \ }}d„ }|||||||||||||dœ
|
|||
|
|
} | j |d|
|
|||
|
|
| | « « | j |d|
|
|||
|
|
||« « | S )z«
|
|||
|
|
Analyze resting RMR from a PNOE CSV file.
|
|||
|
|
|
|||
|
|
manual_window:
|
|||
|
|
None for automatic stable window
|
|||
|
|
or (t_start_sec, t_end_sec) for user-chosen window
|
|||
|
|
NÚmanualÚautor, g €–@c ó` — |€i S | › d�|| › d�|| › d�t |d « dz | › d�t |d « dz | › d�t |d « | › d
|
|||
|
|
�t |d « | › d �t |d
|
|||
|
|
« | › d�t |d « | › d�t |d « | › d�t |d « | › d�t |d « i S )NÚ_window_start_secÚ_window_end_secÚ
|
|||
|
|
_VO2_L_minr' g @�@Ú _VCO2_L_minr( Ú _VE_L_minr) Ú_VT_Lr* Ú_BF_bpmr+ Ú_RERr- Ú _Fat_percentr/ Ú
|