【作者单位】1 Taiyuan University of Technology, School of Computer Science and Technology, Taiyuan, 030024, China, 47846; 2 Taiyuan Normal University, Department of Computer Science and Technology, Shanxi, Taiyuan, 030619, China, 66340
【年份】2018
【卷号】Vol.54 No.13
【页码】148-152
【ISSN】1002-8331
【摘要】 In traditional blind source separation algorithms, they usually need two EOG signals as the references to eliminate EOG artifacts. However, when collecting the EOG signals, they will always easily make the subjects uncomfortable, and require manual i...
