Glycemic control metrics for in silico testing of artificial pancreas systems

Abstract

People with diabetes, clinicians and researchers alike need appropriate metrics to manage diabetes, assess the quality of blood glucose control, and guide the development of new therapies and control methods. In this paper, we review some commonly used metrics with their advantages and disadvantages. We analyze the glucose data of a CGM user to compare the results of different metrics and determine which of these gives the most complete picture of glycemic control in silico trials of artificial pancreas systems.