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Intelligent insulin injection system for the diabetic patients based on neural network and fuzzy algorithm
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V Nafisi   , SM Hashemi Golpayegani |
| , vrnafisi@yahoo.com |
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Abstract: (29447 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 |
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| Keywords: Diabetes, Intelligent control, Neural network, fuzzy algorithm |
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Full-Text [PDF 298 kb]
(6241 Downloads)
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Type of Study: Special |
Subject:
Endocrinology
Received: 2006/11/28 | Published: 2003/09/15
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