Non parametric identifier for Parkinson's disease dynamics by fuzzy-genetic controller

Victor Ortiz, Cornelio Yáñez, Ángel Kuri, Ramon Miranda, Agustin Cabrera, Isaac Chairez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Parkinson's disease often affects gait and mobility. To understand better the pathophysiology of this disease and to improve our ability to measure responses to therapeutic interventions, it may be helpful to control gait dynamics accurately. In to order to control this dynamics design to fuzzy controller, but the fuzzy identifier present to problem, in the heuristic selection of the values that describes the structure of the membership functions. To for numerical solution this disadvantage is the Genetic Algorithms. With this fuzzy-genetic controller it is managed to improve the dynamics of the disease of Parkinson's for his to better study in therapeutic interventions.

Original languageEnglish
Title of host publicationProceedings of the 18th IASTED International Conference on Modelling and Simulation, MS 2007
Pages422-427
Number of pages6
StatePublished - 2007
Externally publishedYes
Event18th IASTED International Conference on Modelling and Simulation, MS 2007 - Montreal, QC, Canada
Duration: 30 May 20071 Jun 2007

Publication series

NameProceedings of the IASTED International Conference on Modelling and Simulation
ISSN (Print)1021-8181

Conference

Conference18th IASTED International Conference on Modelling and Simulation, MS 2007
Country/TerritoryCanada
CityMontreal, QC
Period30/05/071/06/07

Keywords

  • Fuzzy logic
  • Genetic algorithms
  • Non parametric identifier
  • Parkinson disease

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