监测疲劳驾驶时定量脑电图特征量化指标分析  

Quantitative electroencephalography analysis for index of drowsy driving

作　　者：陈朝阳[1] 王文军[2] 张超飞[2] 成波[2] 曾超[3] 孟祥杰[2] John M CAVANAUGH 

机构地区：[1]韦恩州立大学生物医学工程系,美国密歇根48201 [2]清华大学汽车安全与节能国家重点实验室 [3]石河子大学信息科学与技术学院

出　　处：《汽车安全与节能学报》2016年第2期160-166,共7页Journal of Automotive Safety and Energy

基　　金：国家自然科学基金资助项目(51575303;51565051);汽车安全与节能国家重点实验室开放基金(KF14222;KF16182)

摘　　要：为界定驾驶疲劳生理指标,使用驾驶模拟平台,研究疲劳驾驶时的脑电图(EEG)参数的变化。用定量脑电图(q EEG)信号分析技术,提取22名驾驶员δ波功率以及90%边缘频谱值,分析不同记录部位的信号差异。进行了二元回归分析、分类辨别和受试者工作曲线(ROC)的分析。结果表明:60 min的单一环境驾驶会产生驾驶困意,脑电信号的δ波的相对功率谱(比功率)增大,90%边缘频谱值减小;颞部记录到的脑电信号量化改变比前额记录到的信号更为明显。因此,δ波的比功率增加可以作为量化指标区分清醒与困意驾驶;90%边缘频谱值的减少可以作为判别驾驶困意的另一个量化指标。The characteristics of electroencephalograph（EEG） parameters among drowsy drivers were investigated to define physiologic index of driving fatigue. Quantitative EEG（q EEG） analysis techniques were used among 22 subjects using a driving simulator to extract δ band power and 90% spectral edge frequency（SEF90） and to analyze the parameters＇ changes during drowsy driving and the differences from various recording locations by using binary logistic regression, discriminant classification, and receiver operating characteristic（ROC） curve. The results show that 60 minutes＇ mono- environment driving lets to driving drowsiness with increase of relative δ band power and decrease of SEF90. The EEG quantitative changesrecorded at the temporal regions are more than that recorded at the frontal regions. Therefore, the increase of normalized δ band power can be used as an indicator to discriminate the alert from drowsy state during driving. Decrease of SEM90 can be another indicator to determine the drowsiness during driving.

关 键 词：汽车安全 定量脑电图(qEEG) 驾驶疲劳 二元回归分析 受试者工作曲线(ROC) 90%边缘频谱值 

分 类 号：U461.91[机械工程—车辆工程]