• DocumentCode
    1214032
  • Title

    On Surface EMG Spectral Characterization and Its Application to Diagnostic Classification

  • Author

    Inbar, Gideon F. ; Noujaim, Antoine E.

  • Author_Institution
    Department of Electrical Engineering, Technion ¿lsrael Institute of Technology
  • Issue
    9
  • fYear
    1984
  • Firstpage
    597
  • Lastpage
    604
  • Abstract
    Surface EMG was recorded from the biceps with fixed muscle length at S0 percent maximal voluntary contraction. The signal bandpass was 10-230 Hz where most of the surface EMG energy is located. The signal sampled at 500 Hz was found to have a changing spectrum. Stationary segments of 500 ms were subject to linear prediction mathematics to model the system.
  • Keywords
    Biomedical electrodes; Electromyography; Frequency; Mathematical model; Mathematics; Muscles; Needles; Shape; Signal processing; Surface morphology; Electromyography; Humans; Models, Biological; Muscular Diseases; Neuromuscular Diseases; Statistics as Topic;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1984.325303
  • Filename
    4121907