正文
《信息与电子工程前沿(英文)》 >> 2015年 第16卷 第6期 doi: 10.1631/FITEE.1400299
Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independent component analysis based recursive least squares in brain-computer interface
Shanghai Key Laboratory of Power Station Automation Technology, Department of Automation, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China
摘要
关键词
Ocular artifacts ; Electroencephalogram (EEG) ; Electrooculogram (EOG) ; Brain-computer interface (BCI) ; Spatial constraint independent component analysis based recursive least squares (SCICA-RLS)
正文