[Power spectral analysis of electromyograms in fast and slow fibers of cats extraocular muscles].

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  • Author(s): Matsubayashi K;Matsubayashi K
  • Source:
    Nippon Ganka Gakkai zasshi [Nippon Ganka Gakkai Zasshi] 1992 May; Vol. 96 (5), pp. 572-9.
  • Publication Type:
    English Abstract; Journal Article
  • Language:
    Japanese
  • Additional Information
    • Source:
      Publisher: Nihon Ganka Gakkai Country of Publication: Japan NLM ID: 7505716 Publication Model: Print Cited Medium: Print ISSN: 0029-0203 (Print) Linking ISSN: 00290203 NLM ISO Abbreviation: Nippon Ganka Gakkai Zasshi Subsets: MEDLINE
    • Publication Information:
      Original Publication: Tokyo : Nihon Ganka Gakkai
    • Subject Terms:
      Oculomotor Muscles/*physiology; Animals ; Cats ; Electromyography/methods ; Fourier Analysis ; Oculomotor Muscles/innervation ; Signal Processing, Computer-Assisted
    • Abstract:
      Electromyogram (EMG) was recorded from the muscle fibers in the orbital layers through the global layers of superior rectus muscle of the cat. Power spectrum analysis was applied to investigate the quantitative differences between EMG patterns in both layers. The median of the power spectrum in frequency from the global layers was 400-700 Hz, which was considered to be an EMG pattern of the fast fibers. On the other hand, EMG from the orbital layers showed a small amplitude of 35-70 microV and two different types of power spectrum; one had the median frequency of more than 1,000 Hz and the other, about 500 Hz. It was suggested that the high frequency component was due to multi-innervated slow fibers and the low frequency component was due to singly innervated and intermediate fibers. The study of the power spectrum of interference electromyograms provides an advantage to differentiate the electrical activities of the slow fibers from the fast ones.
    • Publication Date:
      Date Created: 19920501 Date Completed: 19920805 Latest Revision: 20151008
    • Publication Date:
      20231215
    • Accession Number:
      1621602