现代电子技术2016，Vol.39Issue(13)：10-14,5.DOI:10.16652/j.issn.1004-373x.2016.13.003
基于回溯搜索算法的导联选择脑机接口研究
Study on brain-computer interface with lead selection based on backtracking search optimization algorithm
摘要
Abstract
In brain⁃computer interface(BCI),the traditional common spatial pattern(CSP)algorithm has a good effect on characteristic signal extraction and event⁃related desynchronization/event⁃related synchronization (ERD/ERS) information. The CSP algorithm is easily limited by electrode lead quantity,time period and frequency band of EEG signal,such as the increasing of electrode lead quantity,easy overfitting of CSP algorithm and easy chaos of data record,which can make the operation com⁃plex,increase the operation time and reduce the accuracy of data classification. Therefore,the CSP algorithm have a limitation. The backtracking search optimization algorithm(BSA)proposed in this paper can automatically select a subset of lead array for CSP algorithm,and take the classification error rate as the objective function of BSA algorithm to test. The two datasets from the datasets of the Third,Fourth International BCI Competitions are adopted in the experiment to perform the classification experi⁃ment of cross validation. The experimental results show that the lead quantity of the two datasets are dramatically reduced,and the classification accuracy is improved.关键词
脑机接口/共空域模式/回溯搜索优化算法/最优导联选择Key words
brain-computer interface/common spatial pattern/backtracking search optimization algorithm/optimal lead selection分类
信息技术与安全科学引用本文复制引用
戴圣法,魏庆国,魏中海..基于回溯搜索算法的导联选择脑机接口研究[J].现代电子技术,2016,39(13):10-14,5.基金项目
国家自然科学基金项目（61365013）；江西省自然科学基金项目 （）
