Please use this identifier to cite or link to this item:
Title: Performance of common spatial pattern under a smaller set of EEG electrodes in brain-computer interface on chronic stroke patients : a multi-session dataset study
Authors: Tam, WK
Tong, KY 
Ke, Z
Keywords: Brain-computer interfaces
Filtering theory
Medical disorders
Medical signal processing
Patient rehabilitation
Issue Date: 2011
Source: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11), Boston, MA, USA, August 30 - September 3, 2011, p. 6344-6347 How to cite?
Abstract: Brain-computer interface (BCI) uses non-muscular channel of the nervous system for communication. Common Spatial Pattern (CSP) is a popular spatial filtering method used to reduce the effect of volume conduction on EEG signals. It is thought that CSP requires a large number of electrodes to be effective. Using a 20-session dataset of motor imagery BCI usage by 5 stroke patients, we demonstrated that after channel selection, CSP can still maintain a high accuracy with low number of electrodes using a newly proposed channel selection method called CSP-rank (higher than 90% with 8 electrodes). The results showed that using only the first session for channel selection, a high accuracy can be maintained in subsequent sessions. CSP-rank has been compared to the popular support vector machine recursive feature elimination (SVM-RFE). The results showed that the CSP-rank required less electrodes to maintain accuracy higher than 90% (a minimum of 8 compared to 12 of SVM-RFE) and it attained a higher maximum accuracy (91.7% compared with 90.7% of SVM-RFE). This could support clinicians to apply more BCI in routine rehabilitation.
ISBN: 978-1-4244-4121-1
978-1-4244-4122-8 (E-ISBN)
DOI: 10.1109/IEMBS.2011.6091566
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Jan 15, 2019

Page view(s)

Last Week
Last month
Citations as of Jan 14, 2019

Google ScholarTM



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