ANFIS regulated type 1diabetic model for different glucose absorption scenarios

A. György, P. Szalay, Z. Benyó, B. Benyó, A. Kovács, L. Kovács

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

3 Citations (Scopus)

Abstract

The human blood glucose system is one of the most important systems of the human body, as energy transport is fulfilled through this complex endocrine control process. Because of its great importance, many models were published, most of them with phenomenological approach. The current paper focuses on a new molecular model published recently which is capable of describing the normal blood glucose household. Type 1 diabetes can be modeled by transforming the original model, then soft computing based controller is designed. Rough rule base is generated with subtractive clustering which is later followed by its refinement by parameter tuning. As a result, an Adaptive Neuro-Fuzzy Inference System (ANFIS) is designed. A simple absorption model is presented in order to test the designed controller for different absorption curves. Simulation results are in accordance with the behavior of the healthy human blood glucose system.

Original languageEnglish
Title of host publicationINES 2010 - 14th International Conference on Intelligent Engineering Systems, Proceedings
Pages327-332
Number of pages6
DOIs
Publication statusPublished - Jul 26 2010
Event14th International Conference on Intelligent Engineering Systems, INES 2010 - Las Palmas of Gran Canaria, Spain
Duration: May 5 2010May 7 2010

Publication series

NameINES 2010 - 14th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other14th International Conference on Intelligent Engineering Systems, INES 2010
CountrySpain
CityLas Palmas of Gran Canaria
Period5/5/105/7/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    György, A., Szalay, P., Benyó, Z., Benyó, B., Kovács, A., & Kovács, L. (2010). ANFIS regulated type 1diabetic model for different glucose absorption scenarios. In INES 2010 - 14th International Conference on Intelligent Engineering Systems, Proceedings (pp. 327-332). [5483822] (INES 2010 - 14th International Conference on Intelligent Engineering Systems, Proceedings). https://doi.org/10.1109/INES.2010.5483822