• DocumentCode
    1204613
  • Title

    A Signal-to-Noise Investigation of Nonlinear Electromyographic Processors

  • Author

    Kreifeldt, John G. ; Yao, Sumner

  • Author_Institution
    Department of Engineering Design, Tufts University, Medford, Mass. 02155.
  • Issue
    4
  • fYear
    1974
  • fDate
    7/1/1974 12:00:00 AM
  • Firstpage
    298
  • Lastpage
    308
  • Abstract
    A general class of nonlinear electromyographic (EMG) processors has been evaluated for their signal-to-noise ratio (SNR) properties. These filters incorporate as the detector element either a power-law (xn) or root-law (x1/n) transformation (detector) followed by a linear low-pass smoothing filter. ``Linearized´´ versions of these processors in which the smoothing filter is followed by an element with the inverse detector characteristics were also evaluated.
  • Keywords
    Detectors; Electromyography; Engineering in medicine and biology; Feedback; Muscles; Noise level; Nonlinear filters; Open loop systems; Signal processing; Smoothing methods; Computers; Electromyography; Electronics, Medical; Humans; Mathematics; Models, Biological; Muscle Contraction; Noise;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1974.324317
  • Filename
    4120786
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1204613