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Contrasting spatial, temporal and spatio-temporal ICA applied to ictal EEG recordings

Contrasting spatial, temporal and spatio-temporal ICA applied to ictal EEG recordings
Contrasting spatial, temporal and spatio-temporal ICA applied to ictal EEG recordings
In this paper we contrast three implementations of Independent Component Analysis (ICA) as applied to epileptic scalp electroencephalographic (EEG) recordings, these are; Spatial (Ensemble) ICA, Temporal (single-channel) ICA and Spatio-Temporal ICA. These techniques are based on information derived from both multi-channel as well as single channel biomedical signal recordings. We assess the suitability of the three techniques in isolating and extracting out epileptic seizure sources. Although our results are preliminary in nature, we show that standard implementations of ICA (ensemble ICA) are lacking when attempting to extract complex underlying activity such as ictal activity in the EEG. Temporal ICA performs well in separating underlying sources, although it is clearly lacking in spatial information. Spatio-Temporal ICA has the advantage of using temporal information to inform the ICA process, aided by the spatial information inherent in multi-channel recordings. This work is being expanded for seizure onset analysis through scalp EEG.
9781424418145
3336-3339
IEEE
James, Christopher J.
c6e71b39-46d2-47c9-a51b-098f428e76e7
Davies, Mike E.
9ca3625e-5b14-4f1f-90ac-1af468f521ae
James, Christopher J.
c6e71b39-46d2-47c9-a51b-098f428e76e7
Davies, Mike E.
9ca3625e-5b14-4f1f-90ac-1af468f521ae

James, Christopher J. and Davies, Mike E. (2008) Contrasting spatial, temporal and spatio-temporal ICA applied to ictal EEG recordings. In Proceedings of the 30th Annual International Conference of the IEEE. IEEE. pp. 3336-3339 . (doi:10.1109/IEMBS.2008.4649919).

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper we contrast three implementations of Independent Component Analysis (ICA) as applied to epileptic scalp electroencephalographic (EEG) recordings, these are; Spatial (Ensemble) ICA, Temporal (single-channel) ICA and Spatio-Temporal ICA. These techniques are based on information derived from both multi-channel as well as single channel biomedical signal recordings. We assess the suitability of the three techniques in isolating and extracting out epileptic seizure sources. Although our results are preliminary in nature, we show that standard implementations of ICA (ensemble ICA) are lacking when attempting to extract complex underlying activity such as ictal activity in the EEG. Temporal ICA performs well in separating underlying sources, although it is clearly lacking in spatial information. Spatio-Temporal ICA has the advantage of using temporal information to inform the ICA process, aided by the spatial information inherent in multi-channel recordings. This work is being expanded for seizure onset analysis through scalp EEG.

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More information

Published date: 14 October 2008
Venue - Dates: 30th International Conference of IEEE Engineering in Medicine and Biology Society (EMBS2008), Vancouver, Canada, 2008-08-20 - 2008-08-24

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Local EPrints ID: 65329
URI: http://eprints.soton.ac.uk/id/eprint/65329
ISBN: 9781424418145
PURE UUID: ee1bb1b3-525c-499f-86e2-21d91ad420d1

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Date deposited: 05 Mar 2009
Last modified: 15 Mar 2024 12:07

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Contributors

Author: Christopher J. James
Author: Mike E. Davies

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