An Ocular Artifacts Removal Method Based on Canonical Correlation Analysis and Two-Channel EEG Recordings  

作　　者：XIE Jin QIU Tian-shuang LIU Wen-hong 

机构地区：[1]Department of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China [2]School of Electronic Information, Shanghai Dianji University, Shanghai 201306, China

出　　处：《Chinese Journal of Biomedical Engineering(English Edition)》2012年第2期60-66,共7页中国生物医学工程学报（英文版）

基　　金：National Science Foundation of China; grant number: 61172108,61139001 and 60872122;Shanghai Dianji University Leading Academic Discipine Project; grant number: 10xkf01

摘　　要：In order to more effectively apply an artifact removal melhod in an online brain-computer interface （BCI） system, a new method based on canonical correlation analysis （CCA） and two-channel eleetroeneephalography （EEG） recordings to quickly remove ocular artifacts （OA） is proposed in this paper. Considering both the formation of EEG signals contaminated by OA and the spread of OA, vertical electrooculo~＇aphy （VEOG） was appropriately introduced in CCA, and the blind source separation （BSS~ method based on CCA was used in a new way during the OA removal process. Both experimental and comparison with ICA and SOBI results show that the new method with simple calculation and fast processing speed can effectively separate and remove OA using only two-channel EEG recordings, with retaining useful EEG signals. Hence, this method used in an online BCI system will be more effective.In order to more effectively apply an artifact removal method in an online brain-computer interface(BCI) system, a new method based on canonical correlation analysis(CCA) and two-channel electroencephalography(EEG) recordings to quickly remove ocular artifacts (OA) is proposed in this paper. Considering both the formation of EEG signals contaminated by OA and the spread of OA, vertical electrooculography (VEOG) was appropriately introduced in CCA, and the blind source separation (BSS) method based on CCA was used in a new way during the OA removal process. Both experimental and comparison with ICA and SOBI results show that the new method with simple calculation and fast processing speed can effectively separate and remove OA using only two-channel EEG recordings, with retaining useful EEG signals. Hence, this method used in an online BCI system will be more effective.

关 键 词：CCA two-channel EEG recordings OA VEOG an online BCI system 

分 类 号：TP335.1[自动化与计算机技术—计算机系统结构] S828.2[自动化与计算机技术—计算机科学与技术]