Hypoglycemia Prevention Using an Embedded Model Control with a Safety Scheme: In-silico Test

Artificial pancreas systems have been designed and implemented over type 1 diabetes patients to overcome glucose regulation problems of conventional therapies. However, hypoglycemia is one of the most feared conditions associated with artificial pancreas systems. This paper presents a new control system based on an Embedded Model Control strategy for glucose regulation including a safety scheme designed to reduce the risk of hypoglycemia events on a full closed-loop system. Insulin on board estimation was used as part of the safety scheme to limit the insulin dose. Simulations implemented through a FDA simulator to test and compare the system performance were assessed. Results show an avoidance of hypoglycemia events in all virtual patients implementing the safety scheme.