FATIGUE ANALYSIS OF ELECTROMYOGRAPHIC SIGNAL BASED ON STATIONARY WAVELET TRANSFORM

  • Lee, Young Seock (Department of Electronics Engineering, Chungwoon University) ;
  • Lee, Jin (Department of Control & Instrumentation Engineering, Samchok National University)
  • Published : 2000.12.31

Abstract

As muscular contraction is sustained, the Fourier spectrum of the myoelectric signal is shifted toward the lower frequency. This spectral density is associated with muscle fatigue. This paper describes a quantitative measurement method that performs the measurement of localized muscle fatigue by tracking changes of median frequency based on stationary wavelet transform. Applying to the human masseter muscle, the proposed method offers the much information for muscle fatigue, comparing with the conventional FFT-based method for muscle fatigue measurement.

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Acknowledgement

Supported by : Chungwoon university