Adaptive control strategy for regulation of blood glucose levels in patients with type 1 diabetes

被引:84
作者
Eren-Oruklu, Meriyan [1 ]
Cinar, Ali [1 ]
Quinn, Lauretta [2 ]
Smith, Donald [2 ]
机构
[1] IIT, Chicago, IL 60616 USA
[2] Univ Illinois, Coll Nursing, Chicago, IL 60612 USA
关键词
Diabetes; Glucose control; Adaptive control; Autoregressive integrated moving-average model with exogenous inputs (ARIMAX) processes; Recursive estimation; Glucose prediction methods; MODEL-PREDICTIVE CONTROL; INSULIN DELIVERY; GLYCEMIC REGULATION; DYNAMICS; SYSTEMS; TIME;
D O I
10.1016/j.jprocont.2009.04.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Current insulin therapy for patients with type 1 diabetes often results in high variability in blood glucose concentrations and may cause hype rglycemic/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 meat and physiological disturbances are demonstrated for subcutaneous insulin infusion. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1333 / 1346
页数:14
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