• DocumentCode
    406435
  • Title

    A simulation study of motor unit electrical and mechanical relations for the first dorsal interosseous muscle in man

  • Author

    Zhou, Ping ; Rymer, W.Z.

  • Author_Institution
    Dept. of Biomed. Eng., Northwestern Univ., Chicago, IL, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    1511
  • Abstract
    Two different relations between motor unit electrical and mechanical properties were used to simulate isometric force and surface EMG signals of the first dorsal interosseous (FDI) muscle in man: 1) motor unit action potential (MUAP) amplitude was linearly proportional to the square root of twitch force; 2) MUAP amplitude was linearly proportional to twitch force. The EMG amplitude-force relations that emerged from simulations indicated that the experimentally observed linear EMG amplitude-force relation was most likely due to the linear electrical and mechanical relation at motor unit level. When MUAP amplitude was proportional to the square root of twitch force, the amplitude of the simulated surface EMG increased slower than force, which was unlike that observed experimentally. The simulation results also suggested that estimating the number of MUAP´s in the surface EMG may be a more physiologically meaningful surface EMG processing approach than the prevailing surface EMG amplitude measurements.
  • Keywords
    biomechanics; biomedical measurement; electromyography; force measurement; neurophysiology; EMG amplitude-force relations; first dorsal interosseous muscle; isometric force simulation; motor unit action potential; motor unit mechanical properties; surface EMG amplitude measurements; surface EMG signals; twitch force; Amplitude estimation; Biomedical engineering; Biomedical measurements; Electromyography; Fault detection; Force sensors; Mechanical factors; Muscles; Neurons; Recruitment;
  • 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.2003.1279632
  • Filename
    1279632