• DocumentCode
    1991089
  • Title

    Inverse problem in the surface EMG: a feasibility study

  • Author

    Chauvet, E. ; Fokapu, O. ; Gamet, D.

  • Author_Institution
    Univ. de Compiegne, France
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1048
  • Abstract
    The aim of this work is the development of a localisation algorithm of the bioelectric sources using surface electromyographic (SEMG). In this paper, a feasibility study is presented : we simulate the resolution of the SEMG inverse problem. Firsts we developed a program modelling the SEMG signal of the biceps brachii. To resolve the inverse problem, the localisation algorithm uses an estimation procedure. We minimise the difference between calculated potential and observed potential by successive iterations. The procedure is applied successively to the defined zones of the geometrical arm cross-section. The program locates accurately an active motor unit in a given zone, regardless of time and distance.
  • Keywords
    electromyography; inverse problems; iterative methods; medical signal processing; minimisation; physiological models; accurate location; active motor unit; biceps brachii; calculated potential; defined zones; electrodiagnostics; estimation procedure; geometrical arm cross-section; gradient method; localisation algorithm; motor unit estimation; observed potential; successive iterations; Bioelectric phenomena; Brain modeling; Electric potential; Electrodes; Electromyography; Gradient methods; Inverse problems; Mathematical model; Neuromuscular; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1020368
  • Filename
    1020368