A unified fisher’s ratio learning method for spatial filter optimization

• المؤلفون الرئيسيون: Li, Xinyang, Guan, Cuntai, Zhang, Haihong, Ang, Kai Keng
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2018
• الموضوعات: BCI; Electroencephalography (EEG)
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/87702; http://hdl.handle.net/10220/45496
• المؤسسة: Nanyang Technological University

To detect the mental task of interest, spatial filtering has been widely used to enhance the spatial resolution of electroencephalography (EEG). However, the effectiveness of spatial filtering is undermined due to the significant nonstationarity of EEG. Based on regularization, most of the conventio...