• DocumentCode
    295170
  • Title

    Detection of human reflex response time-delay to a stretch muscular perturbation

  • Author

    Poignet, Ph. ; Guglielmi, M. ; Vozel, Benoit ; Richard, I.

  • Author_Institution
    Lab. d´´Autom., CNRS, Nantes, France
  • Volume
    3
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    1932
  • Abstract
    The paper presents the results of a comparative study of the respective efficiency of three parametric signal processing methods to detect abrupt spectral changes by means of the detection of abrupt model discontinuities, while they were applied to the very particular case of inspection of change in myoelectric activity of surface electromyograms (EMG). The studied surface electromyograms are those of biceps brachii during a perturbed flexion-extension forearm movement in the horizontal plane. After the description of the experimental device, the position problem is then formally considered, and the different methods used are briefly recalled. Finally, the results observed on a large set of trials are shown to highlight the behaviour of each selected method before concluding on the opportunity to use them to characterize some neuropathies
  • Keywords
    delays; electromyography; medical signal processing; muscle; neurophysiology; signal detection; spectral analysis; EMG; abrupt model discontinuities; abrupt spectral changes detection; biceps brachii; experimental device; horizontal plane; human reflex response time-delay; myoelectric activity; neuropathies; parametric signal processing methods; perturbed flexion-extension forearm movement; position problem; stretch muscular perturbation; surface electromyograms; Delay; Detectors; Face detection; Humans; Inspection; Object detection; Resists; Signal analysis; Signal processing; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.480593
  • Filename
    480593