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Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient

  • K. Y. ZhuEmail author
  • W. D. Liu
  • Y. Xiao
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 56)

Abstract

Diabetes can lead to many complications. If a patient cannot control his or her glucose level properly, he or she may suffer serious consequences. The result may be ketosis, which is normally due to an increase of acetone (a toxic acid product) and may lead to a situation such as diabetic coma. A fuzzy logic control system for the regulation of glucose level for diabetic patients is proposed in this chapter. A mathematical model describing the relationship between the human glucose level, insulin, and food is first presented. Then, a generalized fuzzy logic controller, including a set of fuzzy logic rules, is introduced to regulate glucose levels for diabetic patients. Following the fuzzy logic controller, simulation is presented. The results show that the fuzzy logic control is effective for handling the glucose level based on feedback scheme.

Keywords

Oral Glucose Tolerance Test Fuzzy Logic Controller Continuous Glucose Monitoring Insulin Pump Fuzzy Logic Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Electronic and Computer EngineeringNgee Ann PolytechnicSingaporeRepublic of Singapore
  2. 2.Information and Communication DepartmentShenyang University of Chemical TechnologyShenyangChina

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