James, C. J. and Demanuele, C. (2009) On spatio-temporal component selection in space-time independent component analysis: An application to ictal EEG. In: Annual Conference of the IEEE Engineering in Medicine and Biology Society 2009, Minneapolis, MN, U.S.A., Sep 3-6, 2009. Published in: Proceedings of the Annual Conference of the IEEE Engineering in Medicine and Biology Society 2009 pp. 3154-3157. doi:10.1109/IEMBS.2009.5334034 ISSN 1557-170X, ISBN:978-1-4244-3296-7.

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Abstract

This paper assesses the use of independent component analysis (ICA) as applied to epileptic scalp electroencephalographic (EEG) recordings. In particular we address the newly introduced spatio-temporal ICA algorithm (ST-ICA), which uses both spatial and temporal information derived from multi-channel biomedical signal recordings to inform (or update) the standard ICA algorithm. ICA is a technique well suited to extracting underlying sources from multi-channel EEG recordings - for ictal EEG recordings, the goal is to both de-noise the EEG recordings (i.e. remove artifacts) as well as isolate and extract epileptic processes. As part of any ICA application, there is an interim stage whereby relevant components (or processes) need to be identified - either objectively or subjectively (usually the latter). In previous work with ST-ICA we used spectral information alone to identify the underlying processes subspaces extracted by the ST-ICA. Here we assess the joint use of spatial as well as spectral information for this purpose. We test this on ictal EEG segments where it can be seen that different underlying processes possess characteristic signatures in both modalities which can be utilized for the clustering (or process selection) stage.

Item Type:	Conference Item (Paper)
Subjects:	R Medicine > R Medicine (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	Proceedings of the Annual Conference of the IEEE Engineering in Medicine and Biology Society 2009
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	1557-170X, ISBN:978-1-4244-3296-7
Book Title:	2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Official Date:	2009
Dates:	Date Event 2009 Published
Page Range:	pp. 3154-3157
DOI:	10.1109/IEMBS.2009.5334034
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	Annual Conference of the IEEE Engineering in Medicine and Biology Society 2009
Type of Event:	Conference
Location of Event:	Minneapolis, MN, U.S.A.
Date(s) of Event:	Sep 3-6, 2009

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