摘要
探索在听觉感知的交通信息提示下,进行左右手想象运动对车辆进行辅助控制的脑电特征。受试者在模拟的鸣笛和刹车环境中进行左右手想象运动控制车辆的前进和停止,对采集的脑电进行了基于公共空间模式CSP和线性回归算法的特征提取及分类,识别率达96.67%。结果显示:在与左右手想象运动相关的电极C3、C4上,均表现出右手想象任务引起的脑电幅值高于左手任务,最大幅值差可达120μV。结论:与传统的在视觉感知下进行的左右手想象任务相比,听觉感知任务下的脑电存在着很大优势:(1)两种想象任务引起的脑电幅值差异更大,更有利于信号的提取;(2)脑电的获取可以取代传统的双电极采集方式,选用C3或C4单电极实现。
The aim of this work is to explore the driving EEG in the traffic information based on the auditory perception by motor imagery.In the simulated whistle-brake environment,subjects control the vehicle by the left and right hand motor imagery,the feature was extracted and classified by CSP and linear regression algorithms and the recognition was 96.67%.Results： the signals sampled from C3 and C4 all showed that the voltage amplitude caused by the right hand imagery was higher,the difference between the maximum amplitude was 120 μV.Conclusion： compared to traditional perception of the visual task,the auditory one have advantages including（1） higher voltage amplitude can improve the signal extraction,and（2） the collection of EEG can optimize access to the traditional two-electrode acquisition mode by using the single one.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2012年第2期217-221,共5页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金重点项目(60975001)
河北省科技厅科技支撑项目(11213596)
河北省高等学校科学研究项目(Z2011268)
关键词
听觉感知
脑电驾驶
CSP
线性回归
单电极
auditory perception
EEG driving
common spatial patterns
linear regression
single-electrode
