• DocumentCode
    406450
  • Title

    Functional electrical stimulation of denervated skeletal muscles: a modeling study

  • Author

    Rattay, F. ; Reichel, M. ; Martinek, J. ; Persy, I. ; Resatz, S. ; May, W.

  • Author_Institution
    TU-Biomed, Vienna Univ. of Technol., Austria
  • Volume
    2
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    1547
  • Abstract
    Finite element and finite difference models of the human thigh are used to analyze the excitation process in the fibers of denervated skeletal muscles which are stimulated via surface electrodes. The MATLAB research tool FES-FIELD was developed to simulate the stationary field for real human 3D geometry and FES ANALYSE for a first estimate of supra-threshold regions. Action potential initiation is simulated with a muscle fiber model of the Hodgkin Huxley type and with a generalized form of the activating function. At the endings of a target fiber the activating function is proportional to the first derivative of the extracellular voltage, whereas the second derivative is the driving element for the central part. The analysis demonstrates that it is generally easier to initiate action potentials at the fiber endings especially for fibers in deeper regions.
  • Keywords
    bioelectric potentials; biomedical electrodes; bone; cellular biophysics; finite difference methods; finite element analysis; neuromuscular stimulation; physiological models; FES ANALYSE; FES-FIELD; Hodgkin Huxley type; MATLAB research tool; action potential; denervated skeletal muscles; extracellular voltage; finite difference model; finite element model; functional electrical stimulation; human thigh; muscle fiber model; surface electrodes; Electrodes; Finite difference methods; Finite element methods; Humans; MATLAB; Mathematical model; Muscles; Neuromuscular stimulation; Solid modeling; Thigh;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279651
  • Filename
    1279651