Novel Time-frequency Analysis and Representation of EEG

被引：0
|
作者：
ZHOU Wei-dong1
机构：
来源：
Chinese Journal of Biomedical Engineering | 2003年 / 02期
关键词：
Electroencephalograpm (EEG); Wavelet networks; Time-frequency representation; Wigner-Ville distribution (WVD);
D O I：
暂无
中图分类号：
R310 [];
学科分类号：
1001 ;
摘要：
A novel method of EEG time-frequency analysis and representation based on a wavelet network is presented. The wavelet network model can represent the EEG data effectively. Based on the wavelet network model, a novel time-frequency energy distribution function is obtained, which has the same time-frequency resolution as Wigner-Ville distribution and is free of cross-term interference. There is a great potential for the use of the novel time-frequency representation of nonstationary biosignal based on a wavelet network in the field of the electrophysiological signal processing and time-frequency analysis.
引用
收藏
页码：80 / 85
页数：6
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