A method based on wavelet package transform for denoising electromyographic signal.
- Author:
Weihan SONG
1
;
Gongxun YANG
Author Information
1. School of Mechanical Electronic & Information Engineering, China University of Mining & Technology Beijing, Beijing 100083, China. xzswh@yahoo.com.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Bionics;
Electromyography;
methods;
Humans;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2008;25(2):323-326
- CountryChina
- Language:Chinese
-
Abstract:
The detection and analysis of electromyographic signal is of far reaching importance for clinical diagnosis as well as for convalescence medicine. Electromyographic signal is a kind of biological signal in the background full of noise, so it is somewhat difficult to detect and extract the electromyographic signal. In this paper is discussed how to use the method of wavelet package transform to denoise the electromyographic signal on the basis of its feature and its relationship with noise. The results of simulation and application in the Electromyographic Evoked Potential Measuring System independently developed by our laboratory illuminate that the method is effective for denoising electromyographic signal.
