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
Link To Document