东南大学学报（自然科学版）2016，Vol.46Issue(5)：934-938,5.DOI:10.3969/j.issn.1001-0505.2016.05.006
基于最优化少量电极的思维任务脑机接口
Optimal-less channel based mental task brain-computer interfaces
摘要
Abstract
To decrease the number of channels of brain-computer interfaces,the optimal-less channel based common spatial pattern (CSP)algorithm is proposed to extract the eigenvalues of the electro-encephalography (EEG)features of different mental tasks.First,the temporal-frequency features are represented by event-related (de )synchronization.Then,the separability of each individual channel is measured by entropy criterion.Finally,according to the rank of the separability,the ei-genvalues of different channel groups are extracted and classified by the optimal-less channel CSP al-gorithm and the support vector machine algorithm to obtain the optimal channels.The results demon-strate that during the mental arithmetic task and the spatial rotation task,the EEG signals exhibit sig-nificant different powers in central and occipital lobe.The electrodes with the highest separability of all the subjects are located in these two areas.Compared with the traditional signal processing algo-rithm of EEG,the optimal-less channels based algorithm can reduce the number of the channels to 3 .3 and increase the classification accuracy by 5 .4%.Therefore,the optimal-less channel based al-gorithm can reduce the number of channels and improve the performance of the mental task brain-computer interfaces.关键词
思维任务/脑机接口/最优化少量电极/共空间模式/熵准则Key words
mental task/brain-computer interface/optimal-less channel/common spatial pattern/entropy criterion分类
信息技术与安全科学引用本文复制引用
孙瀚,张雄,王保平,Bruce J Gluckman,刘嘉阳,仲雪飞,樊兆雯,张玉,张春..基于最优化少量电极的思维任务脑机接口[J].东南大学学报（自然科学版）,2016,46(5):934-938,5.基金项目
国家自然科学基金资助项目（61405033，61505028）、国家重点基础研究发展计划（973计划）资助项目（2010CB327705）、高等学校学科创新引智计划资助项目（B07027）、江苏省自然科学基金资助项目（BK20130629）． （）
