cerebralcortex.algorithms.glucose package¶
Submodules¶
cerebralcortex.algorithms.glucose.glucose_variability_metrics module¶
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glucose_var(ds)[source]¶ Compute CGM Glucose Variability Metrics:
This algorithm computes 23 clinically validated glucose variability metrics from continuous glucose monitor data.
- Input:
- ds (DataStream): Windowed/grouped DataStream of CGM data
Returns: DataStream with glucose variability metrics Glucose Variability Metrics include: Interday Mean Glucose Interday Median Glucose Interday Maximum Glucose Interday Minimum Glucose Interday Standard Deviation of Glucose Interday Coefficient of Variation of Glucose Intraday Standard Deviation of Glucose (mean, median, standard deviation) Intraday Coefficient of Variation of Glucose (mean, median, standard deviation) TIR (Time in Range of default 1 SD) TOR (Time outside Range of default 1 SD) POR (Percent outside Range of default 1 SD) MAGE (Mean Amplitude of Glucose Excursions, default 1 SD) MAGN (Mean Amplitude of Normal Glucose, default 1 SD) J-index LBGI (Low Blood Glucose Index) HBGI (High Blood Glucose Index) MODD (Mean of Daily Differences) CONGA24 (Continuous overall net glycemic action over 24 hours) ADRR (Average Daily Risk Range) GMI (Glucose Management Indicator) eA1c (estimated A1c according to American Diabetes Association) Q1G (intraday first quartile glucose) Q3G (intraday third quartile glucose) ** for more information on these glucose metrics see dbdp.org**