Feature extraction of EEG signal based on wavelet package

doi:10.3778/j.issn.1002-8331.2008.23.075

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (23): 246-248.DOI: 10.3778/j.issn.1002-8331.2008.23.075

• 工程与应用 • Previous Articles

Feature extraction of EEG signal based on wavelet package

ZHANG Hai-jun¹,WANG Hao-chuan²,ZHAO Yu-bin¹

1.Zhengzhou Institute of Aeronautical Industry Management，Zhengzhou 450015，China
2.Information Engineering Institute of Zhongzhou University，Zhengzhou 450044，China

Received:2008-03-18 Revised:2008-06-10 Online:2008-08-11 Published:2008-08-11
Contact: ZHANG Hai-jun

基于小波包技术的EEG信号特征波提取分析

张海军¹,王浩川²,赵雨斌¹

1.郑州航空工业管理学院，郑州 450015
2.中州大学信息工程学院，郑州 450044

通讯作者: 张海军

Abstract

Abstract: A method which used wavelet package is put forward to extract the feature of EEG signals more efficiently.With the help of wavelet package the original EEG signals are firstly decomposed and then recomposed at the related frequency range.Analyze the power spectrum and energe after that.The experiment result shows that the wavelet package can extract the feature waves efficiently.

Key words: wavelet package, feature extraction, electroencephalogram（EEG）

摘要： 为了更有效地提取脑电信号特征波，结合小波包技术，提出了一种脑电特征波提取方法。首先对脑电信号进行小波包分解，然后进行相关频段信号的重构，从而提取出特征波，并对其进行功率谱分析和能量计算。实验结果表明，小波包技术能有效地提取脑电信号特征波。

关键词: 小波包, 特征提取, 脑电信号

ZHANG Hai-jun¹,WANG Hao-chuan²,ZHAO Yu-bin¹. Feature extraction of EEG signal based on wavelet package[J]. Computer Engineering and Applications, 2008, 44(23): 246-248.

张海军¹,王浩川²,赵雨斌¹. 基于小波包技术的EEG信号特征波提取分析[J]. 计算机工程与应用, 2008, 44(23): 246-248.

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Feature extraction of EEG signal based on wavelet package

基于小波包技术的EEG信号特征波提取分析

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