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:: Volume 5, Issue 3 (9-2003) ::
2003, 5(3): 203-210 Back to browse issues page
Intelligent insulin injection system for the diabetic patients based on neural network and fuzzy algorithm
V Nafisi , SM Hashemi Golpayegani
, vrnafisi@yahoo.com
Abstract:   (25833 Views)
Prcision and stable control of blood glucose level is an essential requirement for Diabetic patients. On the other hand, biological systems (e.g. Insulin-glucose interaction) act as a non-deterministic and nonlinear complex model. Therefore, we need to use intelligent control. In this paper we use a practical model (instead of the patient) and simulate a neural-fuzzy controller for blood glucose adjustment. Neural network estimates the future of the model then generates the control signal (insulin injection rate). This is a Model Prediction Control (MPC). Fuzzy controller acts as a supervisor system and guarantees the stable and robust control
Keywords: Diabetes, Intelligent control, Neural network, fuzzy algorithm
Full-Text [PDF 298 kb]   (3757 Downloads)    
Type of Study: Special | Subject: Endocrinology
Received: 2006/11/28
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Nafisi V, Hashemi Golpayegani S. Intelligent insulin injection system for the diabetic patients based on neural network and fuzzy algorithm. Iranian Journal of Endocrinology and Metabolism. 2003; 5 (3) :203-210
URL: http://ijem.sbmu.ac.ir/article-1-254-en.html


Volume 5, Issue 3 (9-2003) Back to browse issues page
مجله ی غدد درون‌ریز و متابولیسم ایران، دو ماهنامه  پژوهشی مرکز تحقیقات غدد درون‌ریز و متابولیسم، Iranian Journal of Endocrinology and Metabolism
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