Title :
Bhattacharyya bound based channel selection for classification of motor imageries in EEG signals
Author :
He, Lin ; Yu, Zhuliang ; Gu, Zhenghui ; Li, Yuanqing
Author_Institution :
Coll. of Autom. Sci. & Technol., South China Univ. of Technol., Guangzhou, China
Abstract :
In EEG-based brain computer interfaces (BCIs), channel selection is important for the classification of mental task, such as motor imagery. In this paper, a channel selection method is presented for motor imagery. The Bhattacharyya bound of common spatial pattern (CSP) features is used as the optimal index, and a fast sequential forward search is applied to find the optimal combination of channels. The data analysis results show the improvement of classification accuracy.
Keywords :
brain-computer interfaces; cognitive systems; electroencephalography; spatial reasoning; statistical analysis; Bhattacharyya bound; brain computer interfaces; channel selection method; common spatial pattern; electroencephalography signals; mental task classification; motor imagery; sequential forward search; Automation; Brain computer interfaces; Communication system control; Data analysis; Educational institutions; Electroencephalography; Electronic mail; Helium; Positron emission tomography; Rhythm; Bhattacharyya Bound; Common Spatial Pattern; EEG; Motor Imagery; Sequential Forward Search;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192711
