• DocumentCode
    3779157
  • Title

    Controlling muscular force by functional electrical stimulation using intelligent PID

  • Author

    Abdennacer Ben Hmed;Toufik Bakir;Anis Sakly;St?phane Binczak

  • Author_Institution
    Laboratory Le2i CNRS UMR 6306, University of Burgundy, Dijon, France
  • fYear
    2015
  • Firstpage
    75
  • Lastpage
    79
  • Abstract
    Functional Electrical Stimulation (FES) appears as a way of extremely promising research today to solve numerous pathology connected to the deficiencies of the nervous system. It is usually used for the rehabilitation of people with neurological disorders. Generally, skeletal muscles are activated by using Constant Frequency Trains (CFTs) with a fixed amplitude and inter-pulse duration. In addition, the systems of electrical stimulation do not adapt the parameters stimulation to obtain a desired force response during the rehabilitation session. The purpose of this study is to adapt automatically the stimulation parameters to the force desired by the clinician with an intelligent PID controller which optimizes the amplitude of pulse in the stimulation pattern.
  • Keywords
    "Force","Mathematical model","Muscles","Predictive models","Computational modeling","Parametric statistics","Electrical stimulation"
  • Publisher
    ieee
  • Conference_Titel
    Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2015 16th International Conference on
  • Type

    conf

  • DOI
    10.1109/STA.2015.7505214
  • Filename
    7505214