NDLI: Application of EEG source localization algorithms to the monitoring of active pathways in peripheral nerves

Content Provider	IEEE Xplore Digital Library
Author	Zariffa, Jose Popovic, Milos R.
Copyright Year	2008
Description	Author affiliation: Institute of Biomaterials and Biomedical Engineering, University of Toronto, the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, and the Toronto Rehabilitation Institute, Canada (Zariffa, Jose; Popovic, Milos R.)
Abstract	Improved techniques for identifying active pathways in peripheral nerves using extraneural measurements would have numerous applications in the fields of neuroprostheses, neural system engineering, and diagnostics. In this study, we propose to approach this issue as an inverse problem of bioelectric source localization, using measurements from a multi-contact nerve cuff electrode. This problem is a modified version of the electroencephalogram / magneto-encephalogram (EEG/MEG) source localization problem. We therefore evaluate the performance of two well-known EEG/MEG source localization algorithms, namely sLORETA and sFOCUSS, when they are applied to the peripheral nerve problem. sLORETA is found to be a potentially viable approach, albeit with limited resolution, while sFOCUSS is found to produce too many spurious pathways in the presence of noise.
Starting Page	4216
Ending Page	4219
File Size	320151
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4650139
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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