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Asian Journal of Information Technology
Year: 2014  |  Volume: 13  |  Issue: 3  |  Page No.: 131 - 137

Automatic Diabetic Control System Based on Multi-Variant Fuzzy Rule Sets

R. Arangasamy, J. Sundararajan, Ila Vennila and G. Shankar    

Abstract: Unstable nature in blood sugar of diabetic patients influences more innovative techniques to come for regular usage. Researcher proposes a new approach to control the glucose level of diabetic patients using various biological metrics of the patients. The proposed system is a fuzzy one which uses various rule sets to control the glucose level. Researcher uses the following biological metrics like body temperature, pressure, glucose, red blood cell count, white blood cell count and plasma cells. All the biological features are monitored periodically based on which the proposed system comes to a decision of injecting insulin and rate of medicine. Researcher used various control circuits and regulators and monitors to track the biological features dynamically. The proposed systems have more impact on society for the better control of diabetics.

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