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Paper Information

Journal:   IRANIAN JOURNAL OF ENDOCRINOLOGY AND METABOLISM (IJEM)   FALL 2003 , Volume 5 , Number 3 (SN 19); Page(s) 203 To 210.
 
Paper: 

INTELLIGENT INSULIN INJECTION SYSTEM FOR THE DIABETIC PATIENTS BASED ON NEURAL NETWORK AND FUZZY ALGORITHM

 
 
Author(s):  NAFISI V.R., HASHEMI GOLPAYEGANI M.R.
 
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Abstract: 
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 nondeterministic 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
 
Keyword(s): DIABETES, INTELLIGENT CONTROL, NEURAL NETWORK, FUZZY ALGORITHM
 
References: 
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