An Ocular Artifacts Removal Method Based on Canonical Correlation Analysis and Two-channel EEG recordings

摘要：

　　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

作者: Jin Xie Tianshuang Qiu Liu Wen-hong

作者单位: Department of Biomedical Engineering, Dalian University of Technology, Dalian, China School of Electronic Information, Shanghai Dianji University, Shanghai, China

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 465-468

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）