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• W4282983965 endingPage "4750" @default.
• W4282983965 startingPage "4743" @default.
• W4282983965 abstract "Artificial pancreas (AP) algorithms can be divided into single-hormone (SH) and dual-hormone (DH). SH algorithms regulate glycemia using insulin as their control input. On the other hand, DH algorithms also use glucagon to counteract insulin. While SH-AP systems are already commercially available, DH-AP systems are still in an earlier research phase. DH-AP systems have been questioned since the added complexity of glucagon infusion does not always guarantee hypoglycemia prevention and might significantly raise insulin delivery. In this work, a DH multicontroller is proposed based on a SH linear quadratic gaussian (LQG) algorithm with an additional LQG controller to deliver glucagon. This strategy has a switched structure that allows activating one of the following three controllers when necessary: a conservative insulin LQG controller to modulate basal delivery ( K1), an aggressive insulin LQG controller to counteract meals ( K2), or a glucagon LQG controller to avoid imminent hypoglycemia ( K3). Here, an in silico study of the benefits of incorporating controller K3 is carried out. Intra-patient variability and mixed meals are considered. Results indicate that the proposed switched, dual-hormone strategy yields to a reduction in hypoglycemia without increasing hyperglycemia, with no significant rise in insulin delivery." @default.
• W4282983965 created "2022-06-17" @default.
• W4282983965 creator A5070095367 @default.
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• W4282983965 date "2022-09-01" @default.
• W4282983965 modified "2023-10-09" @default.
• W4282983965 title "A Dual-Hormone Multicontroller for Artificial Pancreas Systems" @default.
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• W4282983965 doi "https://doi.org/10.1109/jbhi.2022.3182581" @default.
• W4282983965 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35704538" @default.
• W4282983965 hasPublicationYear "2022" @default.
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