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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaoteng Gao Youqing Wang |
| Copyright Year | 2012 |
| Description | Author affiliation: College of Information Science & Technology, Beijing University of Chemical Technology, China (Xiaoteng Gao; Youqing Wang) |
| Abstract | Glucose management is an important clinical task for diabetic patients, and intensive insulin therapy is widely considered a promising way for the glucose management. However, the intensive insulin therapy has one potential risk: hypoglycemia, but there is no antagonist to compensate hypoglycaemia in the intensive insulin therapy. Dual infusion of insulin and glucagon can overcome this shortcoming. In this paper, a switching control algorithm was proposed to design and optimize the insulin and glucagon infusion rates simultaneously, and this algorithm has been implemented in a virtual type 1 diabetic subject. The in silico results demonstrate that the proposed algorithm can reduce hypoglycaemia significantly. |
| Starting Page | 5023 |
| Ending Page | 5029 |
| File Size | 249461 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467313971 |
| e-ISBN | 9781467313988 |
| DOI | 10.1109/WCICA.2012.6359430 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Insulin Sugar Switches Diabetes Robustness glucose management switching control IMC-PID hypoglycaemia switching rule |
| Content Type | Text |
| Resource Type | Article |
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