INVESTIGADORES
DE BATTISTA Hernan
artículos
Título:
Automatic glycemic regulation for the pediatric population based on switched control and time-varying IOB constraints: an in silico study
Autor/es:
FUSHIMI, EMILIA; SERAFINI, MARÍA CECILIA; DE BATTISTA, HERNÁN; GARELLI, FABRICIO
Revista:
MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING
Editorial:
SPRINGER HEIDELBERG
Referencias:
Año: 2020 vol. 58 p. 2325 - 2337
ISSN:
0140-0118
Resumen:
Artificial pancreas (AP) systems have shown to improve glucose regulation in type 1 diabetes (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, an algorithm based on switched control and time-varying IOB constraints is 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 Regulation of Glucose (ARG) algorithm in the pediatric population. The effect of unannounced meals is also explored. Results indicate that the proposed strategy achieves lower hypo- and hyperglycemia than the ARG for both announced and unannounced meals. [Figure not available: see fulltext.]
