Control-Oriented Model Including Hyperinsulinemia Induced Insulin Resistance in Type 1 Diabetes

Insulin Resistance (IR) is an important risk factor for health complications in subjects with Type 1 Diabetes Mellitus (T1DM) that is induced by Hyperglycemia (HG) and Hyperinsulinemia (HI) conditions, among other triggers. Considering the relevance of impaired insulin action in closed-loop glycemic...

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Bibliographic Details
Published in2019 IEEE 4th Colombian Conference on Automatic Control (CCAC) pp. 1 - 6
Main Authors Moscoso-Vasquez, Marcela, Colmegna, Patricio, Sanchez-Pena, Ricardo S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
Subjects
Artificial pancreas
Computational modeling
Control-oriented model
Delays
Diabetes
Hyperinsuline-mia/Hyperglycemia
Insulin
Insulin resistance
LPV model
Numerical models
Sensitivity
Sugar
Type 1 diabetes
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Summary:Insulin Resistance (IR) is an important risk factor for health complications in subjects with Type 1 Diabetes Mellitus (T1DM) that is induced by Hyperglycemia (HG) and Hyperinsulinemia (HI) conditions, among other triggers. Considering the relevance of impaired insulin action in closed-loop glycemic control in T1DM, in this work, a previous controloriented Linear Parameter-Varying (LPV) model is augmented by adding the estimate of the patient's Insulin On Board (IOB) as a model input. The model is obtained based on the distribution version of the UVA/Padova metabolic simulator, and allows to include the effect of active insulin on the patient's insulin sensitivity (SI) and cope with inter-patient variability by using a priori patient information. The efficacy of this model is evaluated in comparison with the previous control-oriented LPV model which in turn is an improvement of previous representations, in terms of their openand closed-loop differences with respect to the UVA/Padova model. In silico results evidence the importance of including the effects of insulin stacking at the controller-design stage.
DOI:10.1109/CCAC.2019.8920846