Adaptive control strategy for regulation of blood glucose levels in patients with type 1 diabetes |
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Authors: | Meriyan Eren-Oruklu Ali Cinar Lauretta Quinn Donald Smith |
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Affiliation: | 1. Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd Street Perlstein Hall, Suite 127, Chicago, IL 60616, United States;2. College of Nursing, University of Illinois at Chicago, 845 South Damen Avenue MC 802, Chicago, IL 60612, United States;1. Koc University, Istanbul, Turkey;2. Middle East Technical University, Ankara, Turkey;3. Carnegie Mellon University, Pittsburgh, PA, USA;4. University of Maryland |
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Abstract: | Current insulin therapy for patients with type 1 diabetes often results in high variability in blood glucose concentrations and may cause hyperglycemic/hypoglycemic episodes. Closing the glucose control loop with a fully automated electro-mechanical pancreas will improve the quality of life for insulin-dependent patients. An adaptive control algorithm is proposed to keep glucose concentrations within normoglycemic range and dynamically respond to glycemic challenges. A model-based control strategy is used to calculate the required insulin infusion rate, while the model parameters are recursively tuned. The algorithm handles delays associated with insulin absorption, time-lag between subcutaneous and blood glucose concentrations, and variations in inter/intra-subject glucose–insulin dynamics. Simulation results for simultaneous meal and physiological disturbances are demonstrated for subcutaneous insulin infusion. |
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