INVESTIGADORES
GARELLI Fabricio
artículos
Título:
Automatic glycemic regulation for the pediatric population based on switched control and time-varying IOB contraints: an in silico study.
Autor/es:
EMILIA FUSHIMI; CECILIA SERAFINI; HERNÁN DE BATTISTA; FABRICIO GARELLI
Revista:
MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING
Editorial:
SPRINGER HEIDELBERG
Referencias:
Lugar: HEIDELBERG; Año: 2020
ISSN:
0140-0118
Resumen:
Articial pancreas (AP) systems have shown to improve glucose regulation in type 1diabetes (T1D) patients. However, full closed-loop performance remains a challenge particularly inchildren and adolescents, since these age groups often present the worst glycemic control. In thiswork, an algorithm based on switched control and time-varying insulin-on-board (IOB) constraintsis presented. The proposed control strategy is evaluated in silico using the FDA-approved UVA/Padova simulator and its performance contrasted with the previously introduced Automatic Regu-lation of Glucose (ARG) algorithm in the pediatric population. The eect of unannounced meals isalso explored. Results indicate that the proposed strategy achieves lower hypo- and hyperglycemiathan the ARG for both announced and unannounced meals.
