基于CSP-BPSO的脑-机接口电极选择  

Electrode Selection of Brain-Computer Interface Based on CSP-BPSO

作　　者：吕俊[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510640

出　　处：《华南理工大学学报（自然科学版）》2010年第10期7-13,共7页Journal of South China University of Technology(Natural Science Edition)

基　　金：广东省自然科学基金资助项目(9251064101000012)

摘　　要：在与运动相关的脑?机接口(BCI)中,安置不必要的电极可能会引入伪迹,不利于特征提取和分类.为此,文中提出一种基于共空间模式(CSP)和二进制粒子群优化(BPSO)的电极选择方法.该方法在提取高区分度特征的同时限制电极数量,并依据CSP滤波器的权值调整初始电极组合的生成概率,以提高BPSO的收敛速度.实验结果表明:采用文中方法,选择少数电极即可获得令人满意的分类精度.For motion-related brain-computer interfaces（BCIs）,some artifacts may be imported due to the setting of unnecessary electrodes,which is unfavorable to the feature extraction and classification.In order to solve this problem,an electrode selection method based on the common spatial pattern（CSP） and the binary particle swarm optimization（BPSO） is proposed,which extracts features with high discriminant ability and limits the number of electrodes at the same time.Moreover,in order to accelerate the convergence of BPSO,the generation probability of initial electrode combinations is adjusted according to the weights of CSP filters.Experimental results show that high classification accuracies can be achieved only with few electrodes.

关 键 词：脑-机接口 共空间模式 二进制粒子群优化算法 电极选择 

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]