• DocumentCode
    3863469
  • Title

    NARX muscle model based on Functional Electrical Stimulation (FES) using polynomial estimators and Singular Value Decomposition (SVD)

  • Author

    Ihsan Mohd Yassin;Azlee Zabidi;Rozita Jailani;Nooritawati Md. Tahir;Megat Syahirul Amin Megat Ali

  • Author_Institution
    Faculty of Electrical Engineering, Universiti Teknologi Mara Shah Alam, Malaysia
  • fYear
    2015
  • Firstpage
    168
  • Lastpage
    172
  • Abstract
    This paper presents the development of muscle model based on FES stimulation parameters using the Nonlinear Auto-Regressive model with Exogenous Inputs (NARX). FES stimulations with varying frequency, pulse width and pulse duration were used to estimate the muscle torque. The proposed approach managed to approximate the behavior of the system well with unbiased residuals.
  • Keywords
    "Muscles","Mathematical model","Predictive models","Force","Chemical elements","Correlation","Histograms"
  • Publisher
    ieee
  • Conference_Titel
    Systems, Process and Control (ICSPC), 2015 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/SPC.2015.7473579
  • Filename
    7473579