Patient-specific Glucose Metabolism Models for Model Predictive Control of T1DM Glycemia

The development of a predictive control algorithm for glycaemia regulation in diabetic subjects requires patient-specific models of the glucose metabolism which are physiologically relevant, parsimonious, yet able to accurately forecast blood glucose. Given the measured data: total plasma insulin [mIU/L]; plasma glucose [mg/dL]; plasma glucose rate of appearance after intestinal absorption [mg/kg/min], the objective was to find individualized, simple and plausible glucose-insulin interaction models suitable for exploitation in a MPC framework.