Multi-frequency band common spatial pattern with sparse optimization in Brain-Computer Interface

• المؤلفون الرئيسيون: Arvaneh, Mahnaz, Guan, Cuntai, Ang, Kai Keng, Quek, Chai
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/98790; http://hdl.handle.net/10220/13388
• المؤسسة: Nanyang Technological University

In motor imagery-based Brain Computer Interfaces (BCIs), Common Spatial Pattern (CSP) algorithm is widely used for extracting discriminative patterns from the EEG signals. However, the CSP algorithm is known to be sensitive to noise and artifacts, and its performance greatly depends on the operation...