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
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;
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
DOI :
10.1109/ICCAS.2008.4694264