Analysis Metrics for Glycaemia Dynamics

1. Joint data analysis metrics for glycaemia dynamics.

• Sample mean ($\overline X$)
• Standard Deviation ($SD$)
• Coefficient of Variation ($CV$)
• Percentage of Coefficient of Variation (% $CV$)
• Interquartile Ranger ($IQR$)
• Mean of Daily differences ($MODD$)
• Time in Range (% $TIR$)

2. Analysis of distribution in the plane for glycaemia dynamics.

• Frecuency Distribution ($F_i$)
• Ambulatory Glucose Profile ($AGP$)
• Area Under the Curve ($AUC$)

3. Amplitude and distribution of frequencies metrics for glycaemia dynamics.

• Mean amplitude of glucose excursion ($MAGE$)
• Distance Traveled ($DT$)

4. Metrics for the analysis of glycaemic dynamics using scores of glucose values.

• Low Blood Glucose Index ($LBGI$)
• High Blood Glucose Index ($HBGI$)
• Average Daily Rick Range ($ADRR$)
• Glycaemic Rick Assessment Diabates Equation ($GRADE$)
• Q-Score ($Q-Score$)

5. Metrics for the analysis of glycaemic dynamics using variability estimation.

• Mean Absolute Relative Deviation ($MARD$)
• Continuous Overall Net Glycaemic Action ($CONGA$)
• Glucose Variability Percentage ($GVP$)
• Mean Absolute Glucose change per unit of time ($MAG$)

6. Computational methods for the analysis of glycemic dynamics.

• Detrended Fluctuation Analysis ($DFA$)
• Entropy Sample ($SampEn$)
• Multiscale Sample Entropy ($MSE$)
• Fourier Analysis ($Fourier$)
• Analysis of Diurnal Variation Using the Periodogram Method ($Periodogram$)
• Algorithms for Pulse Identifications ($ULTRA$)