脑电的灰建模和驾驶疲劳特征提取  

Study on Grey Model of Electroencephalogram and Features of Driving Fatigue

作　　者：李默涵[1] 江朝晖[1] 冯焕清[1] 

机构地区：[1]中国科学技术大学电子科学与技术系,合肥230027

出　　处：《生物医学工程学杂志》2009年第2期258-263,共6页Journal of Biomedical Engineering

基　　金：国家自然科学基金和GM联合基金资助项目(60422201)

摘　　要：将灰色系统理论应用到脑电信号分析中,研究驾驶疲劳的特征表达。针对模拟驾驶过程中采集的脑电信号,建立GM(1,1)模型,同时以方向盘控制参数和主观疲劳等级为参考。实验结果显示,GM(1,1)模型参数a、b的协方差cov(a,b)与方向盘转角标准差的变化规律基本一致。表明灰色理论适用于脑电信号分析,灰模型参数较好反映了驾驶疲劳的变化。Grey system theory was applied in analysis of Electroencephalogram（EEG） to extract features of driving fatigue in this study. Model GM（1,1） was built for EEG collected during simulative driving experiments. At the same time, the data of steering wheel movements and subjective fatigue level were analyzed as reference. The results of experiments reveal that the co-deviation of Model GM （1,1） parameter a and b, coy （a, b）, coincides with the standard deviation of steering wheel movements. This indicates that Grey system theory is effective for EEG analysis and the parameters of GM（1,1） can well reflect the change of driving fatigue.

关 键 词：脑电信号分析 驾驶疲劳 特征提取 建模 灰色系统理论 控制参数 实验结果 灰色理论 

分 类 号：R318.04[医药卫生—生物医学工程]