Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing

被引：1

作者：

Zhang Xizheng ^{[1
]}

Yin Ling ^{[2
]}

Wang Weixiong ^{[1
]}

机构：

[1] Hunan Inst Engn, Sch Comp & Commun, Xiangtan, Peoples R China

[2] Hunan Univ, Sch Comp & Commun, Xiangtan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2010年 / 1卷 / 05期

关键词：

EEG; time-frequency analysis; wavelet transform; de-noising;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper proposes time-frequency analysis of EEG spectrum and wavelet analysis in EEG de-noising. In this paper, the basic idea is to use the characteristics of multi-scale multi-resolution, using four different thresholds to wipe off interference and noise after decomposition of the EEG signals. By analyzing the results, understanding the effects of four different methods, it comes to a conclusion that the wavelet de-noising and soft threshold is a better conclusion.

引用

页码：1 / 5

页数：5

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