Automatic blood glucose control for type 1 diabetes: A trade-off between postprandial hyperglycemia and hypoglycemia

Publication date: September 2019Source: Biomedical Signal Processing and Control, Volume 54Author(s): Shadi Khodakaramzadeh, Yazdan Batmani, Nader MeskinAbstractArtificial pancreas (AP) systems perform automated insulin delivery to subjects with type 1 diabetes mellitus (T1DM). In this paper, a nonlinear suboptimal controller is designed to make a trade-off between the elimination of hypoglycemia events and the limitation of postprandial hyperglycemia. All the in silico simulations are performed using the distribution version of the UVA/Padova type 1 diabetes (T1D) simulator. The proposed nonlinear AP system is based on an individualized control law which is designed in three steps. At first, a nonlinear model of the glucose–insulin regulatory system is identified based on the data collected from some safe experiments. Then, using the personalized models for all the patients of the simulator and a nonlinear technique called state-dependent Riccati equation (SDRE), suboptimal controllers are designed in which a trade-off between the abilities to correct hyperglycemia and to minimize hypoglycemia is made by considering variable weighting matrices for the controller. Since the SDRE controller has a state-feedback structure, unscented Kalman filter (UKF) is employed to generate estimations for unmeasured state variables from the measured subcutaneous blood glucose level. To assess the performance of the proposed AP system, several scenarios are considered for 33 in silico p...
Source: Biomedical Signal Processing and Control - Category: Biomedical Science Source Type: research

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