• DocumentCode
    1740603
  • Title

    Solving superposition of motor unit action potential waveforms through a cross-time-frequency based methodology

  • Author

    Bonato, P. ; Erim, Z.

  • Author_Institution
    NeuroMuscular Res. Center, Boston Univ., MA, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    920
  • Abstract
    The identification of the timing of the discharges of groups of muscle fibers (motor units) is of utmost importance in research into the strategies employed by the central nervous system in producing muscle force as well as in the clinical diagnosis of neuromuscular diseases. The process involves the recognition of unique shapes (action potentials) contributed by different motor units at random times throughout a muscle contraction. This paper addresses a specific aspect of the identification process: the decomposition of the compound signal when the action potentials of two or more motor units are superimposed. We propose a cross-time-frequency-based procedure to identify which two (out of a previously identified collection of waveforms) are included in a superposition. The procedure also determines the relative delay of the two waveforms
  • Keywords
    bioelectric potentials; diseases; medical signal processing; muscle; neurophysiology; patient diagnosis; pattern recognition; time-frequency analysis; waveform analysis; central nervous system; clinical diagnosis; compound signal decomposition; cross-time-frequency based methodology; discharges; identification process; motor unit action potential waveforms; muscle contraction; muscle fibers; muscle force; neuromuscular diseases; relative delay; superposition solution; timing; unique shape recognition; Central nervous system; Clinical diagnosis; Filtering; Muscles; Neuromuscular; Propagation delay; Signal processing; Time frequency analysis; Timing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.897871
  • Filename
    897871