计算机工程与应用2011，Vol.47Issue(30)：144-147,4.DOI:10.3778/j.issn.1002-8331.2011.30.039
基于小波包变换的精神疲劳多参数脑电分析
Analysis of multiparameter electroencephalogram based on wavelet packet for mental fatigue
摘要
Abstract
This study is to find the relationships between mental fatigue and parameters of electroencephalogram(EEG), using wavelet packet analysis to calculate the Log energy entropy and to extract basic rhythms from EEG in the state of mental fatigue which is caused by brainwork and sports.Compared with normal state, the EEG from frontal pole of brain presents significant distinction on basic rhythms and log energy entropy in the state of fatigue resulted by brainwork and sports. As conclusion, the relative power in basic rhythms and the log energy entropy can be regarded as valid indices for measuring mental fatigue.关键词
小波包/脑电/精神疲劳/节律提取/对数能量熵Key words
wavelet packet/ Electroencephalogram (EEG)/ mental fatigue/ rhythm extraction/ Log energy entropy分类
医药卫生引用本文复制引用
王鹏,陈民铀,范昭勇,高晋,张莉..基于小波包变换的精神疲劳多参数脑电分析[J].计算机工程与应用,2011,47(30):144-147,4.基金项目
中央高校基本科研业务费资助(No.CDJZR10150003) （No.CDJZR10150003）
输配电装备及系统安全与新技术国家重点实验室自主研究项目(No.2007DA10512710503). （No.2007DA10512710503）
