Artificial Pancreas Monitoring through Error Grid Analysis

AVILA, LUIS OMAR; MARTINEZ, CARLOS ERNESTO

Bariloche

Congreso; XV Reunión de Trabajo en Procesamiento de la Información y Control; 2013

The integration of subcutaneous (SC) sensing and insulin delivery technologies with novel control strategies has brought closer the development of the Artificial Pancreas. Even though recent developments are aimed at preventing chronic complications and less patient discomfort, few works have addressed the critical issue of performance monitoring of an artificial pancreas as well as early detection of faulty conditions in any of its components. This work presents an anomaly detection monitoring tool based on a novel adaptation of the CG-EGA to identify functional degradation in the artificial pancreas components and guarantee safety-critical control of blood glucose levels. A PID algorithm, facing the effect of imperfect calibration of glucose sensors, time lag between blood glucose concentration and interstitial glucose readings, and excessive glycemic variability is evaluated against a reference (optimal) behavior of the glucose regulation loop under uncertainty. Results obtained highlight the feasibility of this novel use of the CG-EGA as a clinically comprehensive monitoring tool for the artificial pancreas