Boiroux, Dimitri7; Duun-Henriksen, Anne Katrine8; Schmidt, Signe9; Nørgaard, Kirsten9; Madsbad, Sten9; Skyggebjerg, Ole10; Jensen, Peter Ruhdal11; Poulsen, Niels Kjølstad7; Madsen, Henrik7; Jørgensen, John Bagterp12
1 Department of Informatics and Mathematical Modeling, Technical University of Denmark2 Scientific Computing, Department of Informatics and Mathematical Modeling, Technical University of Denmark3 Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark4 Department of Systems Biology, Technical University of Denmark5 Center for Systems Microbiology, Department of Systems Biology, Technical University of Denmark6 Center for Energy Resources Engineering, Center, Technical University of Denmark7 Department of Applied Mathematics and Computer Science, Technical University of Denmark8 Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark9 Copenhagen University Hospital10 Horus ApS11 Systems Biotechnology, Department of Systems Biology, Technical University of Denmark12 Copenhagen Center for Health Technology, Center, Technical University of Denmark
In this paper, we develop and test a Model Predictive Controller (MPC) for overnight stabilization of blood glucose in people with type 1 diabetes. The controller uses glucose measurements from a continuous glucose monitor (CGM) and its decisions are implemented by a continuous subcutaneous insulin infusion (CSII) pump. Based on a priori patient information, we propose a systematic method for computation of the model parameters in the MPC. Safety layers improve the controller robustness and reduce the risk of hypoglycemia. The controller is evaluated in silico on a cohort of 100 randomly generated patients with a representative intersubject variability. This cohort is simulated overnight with realistic variations in the insulin sensitivities and needs. Finally, we provide results for the first tests of this controller in a real clinic.
Biological and Medical Systems, 2012, p. 73-78
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8th IFAC Symposium on Biological and Medical Systems, 2012