汽车驾驶时脑电干扰的去除方法研究  

Research of Removing Methods for EEG Interferences in Driving

作　　者：彭军强[1] 吴平东[1] 殷罡[1] 陈之龙[1] 

机构地区：[1]北京理工大学机电一体化中心,北京100081

出　　处：《微计算机信息》2008年第14期248-249,305,共3页Control & Automation

基　　金：国家自然科学基金资助项目(60674035)

摘　　要：眼电干扰和电磁干扰是汽车驾驶脑电测量中常见的两种干扰,通过用小波分析和独立分量分析两种信号处理方法对脑电的干扰情况进行了分析和去除。结果表明两种方法都能用在驾驶时脑电的干扰去除中,小变换方法适用于通道数少,实时性要求较高的情况,而独立分量分析方法则适用于多通道的情况。EOG interference and electromagnetic interference are two kinds of main interferences in the EEG measuring during driving, wavelet transform and independent component analysis methods were applied to analyze the interferences of EEG. The results indicate that the two methods both can be applied to wipe off the interferences of EEG in driving, and wavelet transform method was suited when the channels of EEG were one or two and the high real-time was requested, ICA method was suited when the channels of EEG were more than two.

关 键 词：小波变换 独立分量分析 脑电 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]