• DocumentCode
    1154747
  • Title

    A quantitative and qualitative description of electromyographic linear envelopes for synergy analysis

  • Author

    Chen, Jia-Jin J. ; Shiavi, R.G. ; Zhang, Li-Qun

  • Author_Institution
    Dept. of Biomed. Eng., Vanderbilt Univ., Nashville, TN, USA
  • Volume
    39
  • Issue
    1
  • fYear
    1992
  • Firstpage
    9
  • Lastpage
    18
  • Abstract
    The muscular synergy patterns of human locomotion can be described by the phasic activity of electromyographic linear envelopes (LE) and the interphasic spatio-temporal relations. To represent the phasic activity, the LE is modeled as the summation of Gaussian pulses of various lengths. The parameters of interest are the temporal features: time, duration, and amplitude of the phases of activity. A maximum likelihood approach to the parameter estimation for a mixture of normal distributions is adopted for extracting the temporal features. Based on the derived temporal features, a set of relational descriptors can be defined to describe the spatio-temporal relations between the multichannel phasic activities. The strength of this approach is not only that the plastic activity of the LE can be quantitatively represented accurately, but also that the resulting synergy patterns can be easily interpreted by observers.
  • Keywords
    bioelectric potentials; muscle; waveform analysis; electromyographic linear envelopes; human locomotion; interphasic spatio-temporal relations; maximum likelihood approach; multichannel phasic activities; muscular synergy patterns; normal distributions mixture; parameter estimation; relational descriptors; summation of Gaussian pulses; synergy analysis; temporal features; temporal features extraction; Biomedical engineering; Data compression; Data mining; Electromyography; Feature extraction; Graphics; Humans; Muscles; Pattern analysis; Speech analysis; Algorithms; Electromyography; Evaluation Studies as Topic; Gait; Humans; Models, Neurological; Normal Distribution; Signal Processing, Computer-Assisted; Time Factors;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.108122
  • Filename
    108122