NDLI: A clinical evaluation on the spatial patterns of non-invasive motor imagery-based brain-computer interface in stroke

Content Provider	IEEE Xplore Digital Library
Author	Ang, Kai Keng Guan, Cuntai Chua, Karen Sui Geok Ang, Beng Ti Kuah, Christopher Wang, Chuanchu Phua, Kok Soon Chin, Zheng Yang Zhang, Haihong
Copyright Year	2008
Description	Author affiliation: Tan Tock Seng Hospital Rehabilitation Centre, 17 Ang Mo Kio Ave 9, Singapore 569766 (Chua, Karen Sui Geok; Kuah, Christopher) \|\| Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 21 Heng Mui Keng Terrace, Singapore 119613 (Ang, Kai Keng; Guan, Cuntai; Wang, Chuanchu; Phua, Kok Soon; Chin, Zheng Yang; Zhang, Haihong) \|\| National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore 308433 (Ang, Beng Ti)
Abstract	This clinical study investigates whether the spatial patterns of hemiparetic stroke patients operating a non-invasive Motor Imagery-based Brain Computer Interface (MI-BCI) is comparable to healthy subjects. The spatial patterns for a specific frequency range are generated using the common spatial pattern (CSP) algorithm, of which is highly successful for discriminating two classes of EEG measurements in MI-BCI. The spatial patterns illustrate how the presumed sources project on the scalp and are effective in verifying the neurophysiological plausibility of the computed solution. The spatial patterns show focused activity in ipsilateral as well as contralateral hemisphere with respect to the hand by tapping or motor imagery in 2 BCI-artful healthy subjects and 12 BCI-naïve hemiparetic stroke patients. The results also show that neurophysiologically interpretable spatial patterns is more common in performing motor imagery compared to finger tapping by hemiparetic stroke patients. Hence, this shows that hemiparetic stroke patients are capable of operating MI-BCI.
Starting Page	4174
Ending Page	4177
File Size	1593059
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4650129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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