Real Time Implementittion of Time Varying Nonstationary Signal Identifier and Its Application to Muscle Fatigue Monitoring

비정상 시변 신호 인식기의 실시간 구현 및 근피로도 측정에의 응용

  • 이진 (서울시립대학교 전자공학과) ;
  • 이영석 (서울시립대학교 전자공학과) ;
  • 김성환 (서울시립대학교 전자공학과)
  • Published : 1995.09.01

Abstract

A need exists for the accurate identification of time series models having time varying parameters, as is important in the case of real time identification of nonstationary EMG signal. Thls paper describes real time identification and muscle fatigue monitoring method of nonstationary EMG signal. The method is composed of the efficient identifier which estimates the autoregressive parameters of nonstationary EMG signal model, and its real time implementation by using T805 parallel processing computer. The method is verified through experiment with real EMG signals which are obtained from surface electrode. As a result, the proposed method provides a new approach for real time Implementation of muscle fatigue monitoring and the execution time is 0.894ms/sample for 1024Hz EMG signal.

Keywords

References

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