deigoodle/glucopy

Python Toolbox for glycaemic signal processing

glucopy's Issues

metrics 6: DFA

metrics 4: Q-Score

• assuming the range is the average of the differences between max and min

Publish and automatization of the docs

Examples for all functions to the date (22/01/2024)

metrics 1: MODD

metrics 4: LBGI

load_excel

metrics 1: MEAN

MODD: can return value for all posible times

trace plot (all days)

metrics 4: GRADE

metrics 5: CONGA

MEAN, STD, CV, %CV, QUANTILE, IQR, TIR, FD, AGP, LBGI, HBGI, MAG: return pd.Series instead of array per day

load_csv

metrics 4: HBGI

metrics 1: IQR

GRADE fix, wrong percentages

• Previously I was checking if the GRADE values were in the ranges <3.9, >8.9, etc. Which was wrong, now check with the data values

metrics 1: CV

metrics 5: MAG

trace plot (TIR) rectangles

• added red rectangles for out of range intervals
• added green rectangles for in range intervals

metrics 4: ADRR

add example data to glucopy.data()

metrics 6: SampEn

trace plot (MAGE)

Add sphinx docs

histogram (rate of change)

extra options to load_excel, load_csv: skiprows, nrows

metrics 3: DT

histogram (frequencies)

metrics 5: GVP

metrics 6: MSE

ADRR, GRADE fix

• Convertion of mg/dl to mmol/l and viceversa
• GRADE now can return percentages of contribution to 'Hypoglycaemia', 'Euglycaemia' and 'Hyperglycaemia'

metrics 2: AGP

• In the paper is described as a metric, but the correct interpretation is on a plot

trace plot (MAGE) improve

• rectangles with the peaks and nadirs

trace plot (TIR) enhancement

• out of range values are marked

metrics 1: STD

metrics 1: %CV

metrics 2: FD

metrics 3: MAGE

trace plot (mean,std)

metrics 1: TIR

trace MAGE: improve

• Use a more precise method regarding manuscripts.
• Add a smoothing method (is worst than scipy.signal.find_peaks alone)

metrics 6: Fourier

Mean plot fix for inconsistent time differences in datasets

• Now plots the means and stds for intervals of 15 minutes

metrics 6: Periodogram

trace plot (TIR)

• plot per day with a background color for the range

create github roadmap

metrics 2: AUC

box plot

metrics 5: MARD