TY - JOUR
T1 - Output-Feedback Sliding-Mode Controller for Blood Glucose Regulation in Critically Ill Patients Affected by Type 1 Diabetes
AU - Franco, Roberto
AU - De Loza, Alejandra Ferreira
AU - Rios, Hector
AU - Cassany, Louis
AU - Gucik-Derigny, David
AU - Cieslak, Jerome
AU - Henry, David
AU - Olcomendy, Loic
N1 - Publisher Copyright:
© 1993-2012 IEEE.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - In this brief, an output feedback continuous twisting algorithm is applied to solve the problem of glucose regulation in critically ill patients affected with type 1 diabetes mellitus. The proposed approach copes with disturbances coming from intrapatient and interpatient variability and does not need meal announcements. The blood glucose measurement and insulin infusion are via intravenous. The proposed algorithm regulates blood glucose and keeps it in the normoglycemia range, i.e., 70-180 mg/dl without nursing intervention. Therefore, the workload at the intensive care unit is alleviated. Besides, we provide a criterion to set the output feedback continuous twisting algorithm gains, which may be used for individualizing the insulin therapy. The approach is validated in the Universities of Virginia and Padua (UVA/Padua) metabolic simulator for ten in silico adult patients with unannounced meal intake. The results show excellent performance as well as minimal risk of hyperglycemic and hypoglycemic events. In addition, an open-loop study case is presented to evidence the advantages of output feedback continuous twisting algorithm over a traditional brief-based protocol in terms of nurse workload mitigation.
AB - In this brief, an output feedback continuous twisting algorithm is applied to solve the problem of glucose regulation in critically ill patients affected with type 1 diabetes mellitus. The proposed approach copes with disturbances coming from intrapatient and interpatient variability and does not need meal announcements. The blood glucose measurement and insulin infusion are via intravenous. The proposed algorithm regulates blood glucose and keeps it in the normoglycemia range, i.e., 70-180 mg/dl without nursing intervention. Therefore, the workload at the intensive care unit is alleviated. Besides, we provide a criterion to set the output feedback continuous twisting algorithm gains, which may be used for individualizing the insulin therapy. The approach is validated in the Universities of Virginia and Padua (UVA/Padua) metabolic simulator for ten in silico adult patients with unannounced meal intake. The results show excellent performance as well as minimal risk of hyperglycemic and hypoglycemic events. In addition, an open-loop study case is presented to evidence the advantages of output feedback continuous twisting algorithm over a traditional brief-based protocol in terms of nurse workload mitigation.
KW - Diabetes mellitus
KW - glucose regulation
KW - in silico validation
KW - sliding mode control
UR - http://www.scopus.com/inward/record.url?scp=85099577489&partnerID=8YFLogxK
U2 - 10.1109/TCST.2020.3046420
DO - 10.1109/TCST.2020.3046420
M3 - Artículo
AN - SCOPUS:85099577489
SN - 1063-6536
VL - 29
SP - 2704
EP - 2711
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
IS - 6
ER -