Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Study on the Identification of the EMG Signal in the Wavelet Transform Domain

웨이브렛 변환평면에서의 근전도신호 인식에 관한 연구

  • 김종원 (서울 시립대학교 전자공학과) ;
  • 김성환 (서울 시립대학교 전자공학과)
  • Published : 1994.09.01
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Abstract

All physical data in the real world are nonstationary signals that have the time varying statistical characteristics. Although few algorithms suitable to process the nonstationary signals have ever been suggested, these are treated the nonstationary signals under the assumption that the nonstationary signal is a piece-wise stationary signal. Recently, statistical analysis algorithms for the nonstationary signal have concentrated so much interest. In this paper, nonstationary EMG signals are mapped onto the orthogonal wavelet transform domain so that the eigenvalue spread of its autocorrelation matrix could be more smaller than that in the time domain. Then the model in the wavelet transform domain and an algorithm to estimate the model parameters are suggested. Also, an test signal generated by a white gaussian noise and the EMG signal are identified, and the algorithm performance is considered in the sense of the mean square error and the evaluation parameters.

Keywords

References

  1. Florida,Robert E. Time Series Analysis, Identification and Adaptive Filtering D.Graupe
  2. IEEE Trans. Automat. Contr. v.AC-30 A Smoothness priors time-varying A R Coefficient modeling nonstationary covariance time series G.Kitagawa;W.Gercsh
  3. IEEE Trans. ASSP. v.37 no.5 Identification of Nonstationary Models with Application to Myoelectric Signals for Controlling Electrical Stimulation of Paraplegics A.T.Moser;D.Graupe
  4. IEEE Trans. BME v.28 no.5 Effects of Load on Myoelectric Signals : The ARIMA Representation M.H.Sherif;R.J.Gregor;J.Lyman
  5. IEEE Trans. BME v.24 no.5 A Nonstationary Model for the Electromyogram E.Shwedyk;R.Balasubramanian;R.N.Scott
  6. Applied Statistical Time Series Analysis. Englewood Cliffs R.H.Shumway
  7. IEEE IM., Manuscript no. IM-3101, Submitted Real-Time Implementation of the Identifier for the Nonstationary Time-Varying Signals and Systems J.W.Kim;S.H.Kim
  8. IEEE Trans. BME v.36 no.7 EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking D.Graupe
  9. J. of KOSOMBE v.12 no.1 하반신마비 환자의 보행기능 제어를 위한 FES하드웨어 시스템 설계에 관한 연구 김근섭;김종원;김규학;홍완희;김성환
  10. IEEE SP Magazine Wavelets and Signal Processing O.Rioul;M.Vetterli
  11. IEEE Trans. Pattern Ana. and Machine Intel. v.11 no.7 A Theory for Multiresolution Signal Decomposition : The Wavelet Representation S.G.Mallat
  12. Comm. Pure Applied Math. v.41 Orthonormal basis of compactly supported wavelets I.Daubechies
  13. IEEE Trans. Infor. Theory v.36 no.5 The Wavelet Transform, Time-Fuequency Localization and Signal Andlysis I.Daubechies
  14. SIAM Algorithms and Applications Y.Meyer;Wavelets;R.D.Ryan(tr.)
  15. Linear Algebra and its Applications(3rd ed.) G.Strang
  16. J. Basic Eng. Trans. ASME v.32 A new approach to linear filitering and prediction problems R.E.Kalman
  17. Random Data : Analaysis and Measurement Procedures J.S.Bendat;A.G.Piersol
  18. IEEE Trans. BME v.17 An application of signal processing technique to the study of myoeletric signals E.Kwatny;D.H.Thomas;H.G.Kwatny