Automatic Detection and Estimation of Unannounced Meals for Multivariable Artificial Pancreas System

Abstract

Integration of a meal detection module in an AP system is a further step toward an automated AP without manual entries. Detection of a consumed meal/snack and infusion of insulin boluses using an estimate of CHO enables the AP system to automatically prevent postprandial hyperglycemia.