• DocumentCode
    1611990
  • Title

    Electromyogram signal processing by using M-transform

  • Author

    Harada, Hiroshi ; Kashiwagi, Hiroshi ; Nishimura, Hikaru ; Ohbuchi, Yoshifumi ; Yamaguchi, Teruo

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto
  • fYear
    2008
  • Firstpage
    2446
  • Lastpage
    2449
  • Abstract
    The authors propose a new method for reducing both impulsive noise and white noise by use of M-transform and wavelet shrinkage. M-transform is a new signal transformation proposed by the authors, and any periodic time signal can be considered as the output of a filter whose input is an M-sequence. By using the properties of M-transform, it is shown that both impulsive noise and white noise can be eliminated by use of first M-transform and then wavelet shrinkage. In this paper, the proposed noise reduction method is applied to the electromyogram signal which sometimes contains many impulsive noise and white noise. From the results of the experiment, it is shown that the proposed method is very efficient for impulsive noise reduction.
  • Keywords
    electromyography; medical signal processing; transforms; M-sequence; M-transform; electromyogram signal processing; impulsive noise reduction; noise reduction method; periodic time signal; signal transformation; wavelet shrinkage; white noise; Automatic control; Control systems; Finite impulse response filter; Fourier transforms; Gaussian noise; IIR filters; Noise reduction; Nonlinear filters; Signal processing; White noise; Correlation Function; Electromyogram Signal; M-sequence; Signal Processing; Wavelet Shrinkage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-9-3
  • Electronic_ISBN
    978-89-93215-01-4
  • Type

    conf

  • DOI
    10.1109/ICCAS.2008.4694264
  • Filename
    4694264