Background and Aims
AP systems have shown to improve glucose regulation in T1D patients. However, full closed-loop performance remains a challenge particularly in children and adolescents, since these age groups often present the worst glycemic control.
In this work, a new algorithm based on switched control and time-varying IOB constraints is presented (ARGAE). This method is a combination of ideas from the previously introduced Automatic Regulation of Glucose (ARG) algorithm, which features no pre-meal insulin boluses , and the Amplitude Enable (AE) mode, which allows the controller to act more aggressively at the beginning of meal intake without risking postprandial hypoglycemia . The proposed control strategy is evaluated in silico and its performance contrasted with the ARG algorithm in the pediatric population.
The in silico tests performed indicate that the use of the Amplitude Enable layer can help increase the time in euglycemia for both adolescent and children age groups (see tables 1 and 2). Hypoglycemia is significantly reduced in children and completely avoided in adolescents. This is an important upside of the ARGAE since a severe hypoglycemia episode is one of the most dangerous situations for people with T1D.
Simulations show that the proposed algorithm improves the performance of the ARG algorithm.
 P. Colmegna, F. Garelli, H. D. Battista and R. Sánchez-Peña, Control Engineering Practice, no. 74, pp. 22-32, 2018.
 E. Fushimi, N. Rosales, H. De Battista and F. Garelli, Biomed Signal Process Control, vol. 45, pp. 1-9, 2018.