北京生物医学工程2011，Vol.30Issue(1)：57-61,5.DOI:10.3969/j.issn.1002-3208.2011.01.11
一种基于脑电信号的疲劳驾驶状态判断方法
EEG-Based Method to Determine the Drowsiness Degree of EEG Signal
摘要
Abstract
The characteristic of electroencephalograph ( EEG ) signal in drowsy driving was researched. Based on independent component analysis ( ICA) algorithm, a method of determining the drowsiness degree was proposed. In a simulated driving system, the EEG signals of subjects, in both sober and drowsy (driving continuously for more than four hours) states, were captured by EEG instrument of NT-9200. The multi channel signals were analyzed with ICA algorithm, and removed ocular electric, myoelectric and power frequency interferences , and power spectral densities were calculated after fast fourier transform ( FFT) , so the fatigue index F was obtained at last. Experimental results show that the index F of drowsy state was significantly higher than the index F of sober state. The method presented in this paper can be used for determining the drowsiness degree from EEG signal effectually.关键词
脑电信号/疲劳驾驶/独立成分分析/疲劳指数/频谱分析分类
医药卫生引用本文复制引用
李明爱,张诚,杨金福..一种基于脑电信号的疲劳驾驶状态判断方法[J].北京生物医学工程,2011,30(1):57-61,5.基金项目
北京市自然科学基金(4082004)、北京市委组织部优秀人才培养项目(20071B0501500198)资助 （4082004）
