Type 1 diabetes regulated by ANFIS at molecular levels

Levente Kovács, A. György, B. Benyó, A. Kovács

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Soft computing based controller is designed for Type 1 diabetes modeled at molecular levels. Rough rule base is generated with subtractive clustering which is followed by its refinement by parameter tuning. As a result, an Adaptive Neuro-Fuzzy Inference System (ANFIS) is created. Simulation results are in accordance with the behavior of the healthy human blood glucose system.

Original languageEnglish (US)
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Pages841-844
Number of pages4
Edition4
DOIs
StatePublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Publication series

NameIFMBE Proceedings
Number4
Volume25
ISSN (Print)1680-0737

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period9/7/099/12/09

Keywords

  • ANFIS
  • Diabetes
  • Molecular model
  • Subtractive clustering

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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  • Cite this

    Kovács, L., György, A., Benyó, B., & Kovács, A. (2009). Type 1 diabetes regulated by ANFIS at molecular levels. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics (4 ed., pp. 841-844). (IFMBE Proceedings; Vol. 25, No. 4). https://doi.org/10.1007/978-3-642-03882-2-224