• DocumentCode
    2813014
  • Title

    Determining EMG embedding and fractal dimensions and its application

  • Author

    Chen, Bin ; Wan, Ning

  • Author_Institution
    Dept. of Electr. Eng., Ocean Univ. of Qingdao, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1341
  • Abstract
    An electromyogram (EMG) records a myoelectric signal sampled from the surface of skeletal muscles, a complex nonlinear system. In order to study its dynamics, analysis methods based on phase space reconstruction and fractal theory are discussed. The methods focus on determination of the embedding dimension and fractal dimension of EMG. It is shown that embedding and fractal dimensions reflect the human muscle´s potential in athletics. Furthermore, by comparison, we find that both dimensions seem to have consistent experimental results. It hints that this kind of analysis may be helpful in evaluation of athletes
  • Keywords
    electromyography; fractals; medical signal processing; nonlinear dynamical systems; signal reconstruction; signal sampling; EMG embedding; athletics; complex nonlinear system; dynamics; electromyogram; embedding dimension; fractal dimensions; human muscle potential; myoelectric signal; phase space reconstruction; skeletal muscles; Data analysis; Electromyography; Fractals; Muscles; Nonlinear dynamical systems; Nonlinear systems; Oceans; Sea surface; State-space methods; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.897986
  • Filename
    897986