• DocumentCode
    1560094
  • Title

    Extraction of the envelope from surface EMG signals

  • Author

    D´Alessio, T. ; Conforto, S.

  • Author_Institution
    Dipt. di Ingegneria Meccanica e Industriale, Rome Univ., Italy
  • Volume
    20
  • Issue
    6
  • fYear
    2001
  • Firstpage
    55
  • Lastpage
    61
  • Abstract
    Electrical signals recorded by means of surface electromyography (SEMG) contain some useful information for a better understanding of strategies underlying human movement. In particular, a great contribution to biomechanic studies may be provided by a correct estimation of the amplitude of SEMG signals that is related to the force exerted by muscles. This information could, in fact, represent an indirect assessment of muscular force obtained without using invasive measurement techniques. This article presents a new fully automatic estimation technique adaptively working on SEMG signal characteristics. The discussion of the theoretical background of the estimator together with a feasibility study demonstrates the usefulness of its application. An example of the application to signals recorded during dynamic protocols is also shown
  • Keywords
    adaptive estimation; amplitude estimation; electromyography; iterative methods; medical signal processing; smoothing methods; time series; adaptive procedure; amplitude estimation; dynamic protocols; envelope extraction; fully automatic technique; iterative algorithm; smoothing filter; surface EMG signals; time series; Amplitude estimation; Biomechanics; Data mining; Electrodes; Electromyography; Force measurement; Muscles; Protocols; Signal processing; Torque;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.982276
  • Filename
    982276