基于运动想象的皮层脑电图频域模式滤波  

Frequency-Domain Pattern Filtering of Electrocorticography Based on Motor Imagery

作　　者：吕俊[1] 谢胜利[1] 

机构地区：[1]华南理工大学电子与信息学院,广东广州510640

出　　处：《华南理工大学学报（自然科学版）》2008年第5期101-105,共5页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金重点项目(U0635001);国家自然科学基金资助项目(60505005)

摘　　要：为了提高皮层脑电图(ECoG)脑-机接口(BCI)的分类精度,提出了基于运动想象的ECoG频域模式滤波法.该方法通过联合对角化寻找最具判别力的投影方向作为频域滤波器,抽取滤波后ECoG的均值和标准差作为特征,然后采用核Fisher判别式进行分类.BCI2005数据集Ⅰ的实验结果表明:采用该方法仅用单个电极即可获得92%的测试精度.In order to improve the classification accuracy of the brain-computer interface（BCI） of electrocortico-graphy（ECoG）,a motor imagery-based pattern-filtering method in frequency domain is proposed.In this method,the joint diagonalization is employed to seek the most discriminative projections as the frequency-domain filters,the means and standard deviations of filtered electrocorticograms are extracted as the features,and the kernel Fisher discriminant is applied to the classification.Experimental results of BCI2005 data set Ⅰ show that the proposed method can achieve a classification accuracy of 92% even with a single electrode.

关 键 词：皮层脑电图 脑-机接口 特征提取 频域模式滤波 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] R318[自动化与计算机技术—控制科学与工程]