Title
A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain-Computer Interfaces.
Abstract
Event-related desynchronization/synchronization patterns during right/left motor imagery (MI) are effective features for an electroencephalogram-based brain-computer interface (BCI). As MI tasks are subject-specific, selection of subject-specific discriminative frequency components play a vital role in distinguishing these patterns. This paper proposes a new discriminative filter bank (FB) common ...
Year
DOI
Venue
2009
10.1109/TBME.2009.2026181
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Electroencephalography,Frequency synchronization,Filter bank,Feature extraction,Support vector machines,Support vector machine classification,Error analysis,Motor drives,Councils,Band pass filters
Computer vision,Synchronization,Computer science,Filter bank,Support vector machine,Brain–computer interface,Word error rate,Speech recognition,Feature extraction,Artificial intelligence,Discriminative model,Motor imagery
Journal
Volume
Issue
ISSN
56
11
0018-9294
Citations 
PageRank 
References 
48
2.09
3
Authors
5
Name
Order
Citations
PageRank
Kavitha P. Thomas1707.68
Cuntai Guan21298124.69
Chiew Tong Lau340635.82
A. Prasad Vinod432850.06
Kai Keng Ang580464.19