Biometrics and Bioinformatics

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Automatic Blood Glucose Levels in Diabetic Patients Using an Intelligent Fuzzy Controller


Affiliations
1 Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran, Islamic Republic of
2 Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran, Islamic Republic of
3 World Wide Science Academy, KL, Malaysia
4 Vydehi Institute of Medical Sciences and Research Centre, Bangalore, India
     

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Some diseases of the body is unable to control one or more critical parameters arises. High percentage of these diseases are not curable. Thus, a system designed for accurate and stable vital parameters, to control these diseases incurable, is of great importance. One of the vital parameters, blood glucose levels in people with diabetes is. This algorithm is a special case of super-twist control high order sliding mode fuzzy logic control and intelligent control algorithms for the efficient and stable blood glucose levels in diabetic patients is used. Performance simulation results for both are effective in controlling blood glucose levels stable in the presence of abrupt changes in model parameters and model has been shown.

Keywords

Blood Glucose Control, Higher-Order Sliding Mode Control, Fuzzy Control, Stability.
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  • Automatic Blood Glucose Levels in Diabetic Patients Using an Intelligent Fuzzy Controller

Abstract Views: 203  |  PDF Views: 3

Authors

Saman Farhangdoust
Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran, Islamic Republic of
Ali Najafpoor
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran, Islamic Republic of
Amin Daneshmand Malayeri
World Wide Science Academy, KL, Malaysia
Saleh Mahmoudabadi
Vydehi Institute of Medical Sciences and Research Centre, Bangalore, India

Abstract


Some diseases of the body is unable to control one or more critical parameters arises. High percentage of these diseases are not curable. Thus, a system designed for accurate and stable vital parameters, to control these diseases incurable, is of great importance. One of the vital parameters, blood glucose levels in people with diabetes is. This algorithm is a special case of super-twist control high order sliding mode fuzzy logic control and intelligent control algorithms for the efficient and stable blood glucose levels in diabetic patients is used. Performance simulation results for both are effective in controlling blood glucose levels stable in the presence of abrupt changes in model parameters and model has been shown.

Keywords


Blood Glucose Control, Higher-Order Sliding Mode Control, Fuzzy Control, Stability.