• DocumentCode
    1861132
  • Title

    Non-invasive diagnosis of myopathy using transputer EMG analysis

  • Author

    Preece, Alan W. ; Preece, David L. ; Jones, Rosie ; Green, Josie ; Morgan, Hihry

  • Author_Institution
    Bristol Univ., UK
  • fYear
    1989
  • fDate
    9-12 Nov 1989
  • Firstpage
    1701
  • Abstract
    Surface recorded electromyogram (EMG) interference patterns were analyzed online for turns, zero crossings, frequency content and amplitude data. Patients studied with this technique had multiple sclerosis, dermatomyositis and various dystrophies. The different characteristics illustrated by the measurement technique are shown. It is found that mathematical analysis of EMG signals, even from surface recordings, contains sufficient data to characterize certain myopathies
  • Keywords
    bioelectric potentials; muscle; patient diagnosis; waveform analysis; amplitude data; dermatomyositis; dystrophy; frequency content; mathematical analysis; measurement technique; multiple sclerosis; myopathy; noninvasive diagnosis; surface recordings; transputer EMG analysis; turns; zero crossings; Clouds; Electromyography; Fatigue; Frequency; Immune system; Interference; Multiple sclerosis; Muscles; Optical fiber devices; Recruitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/IEMBS.1989.96414
  • Filename
    96414