Please use this identifier to cite or link to this item:
Title: Bilinear common spatial pattern for single-trial ERP-based rapid serial visual presentation triage
Authors: Yu, K.
Shen, K. 
Shao, S. 
Ng, W.C. 
Li, X. 
Issue Date: Aug-2012
Citation: Yu, K., Shen, K., Shao, S., Ng, W.C., Li, X. (2012-08). Bilinear common spatial pattern for single-trial ERP-based rapid serial visual presentation triage. Journal of Neural Engineering 9 (4) : -. ScholarBank@NUS Repository.
Abstract: Common spatial pattern (CSP) analysis is a useful tool for the feature extraction of event-related potentials (ERP). However, CSP is essentially time invariant, and thus unable to exploit the temporal information of ERP. This paper proposes a variant of CSP, namely bilinear common spatial pattern (BCSP), which is capable of accommodating both spatial and temporal information. BCSP generalizes CSP through iteratively optimizing bilinear filters. These bilinear filters constitute a spatio-temporal subspace in which the separation between two conditions is maximized. The method is unique in the sense that it is mathematically intuitive and simple, as all the bilinear filters are obtained by maximizing the power ratio as CSP does. The proposed method was evaluated on 20 subjects' ERP data collected in rapid serial visual presentation triage experiments. The results show that BCSP achieved significantly higher average test accuracy (12.3% higher, p < 0.001). © 2012 IOP Publishing Ltd.
Source Title: Journal of Neural Engineering
ISSN: 17412560
DOI: 10.1088/1741-2560/9/4/046013
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Oct 12, 2018


checked on Sep 26, 2018

Page view(s)

checked on Sep 22, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.