The University of Southampton
University of Southampton Institutional Repository

Constrained ICA for seizure onset analysis in the EEG

Constrained ICA for seizure onset analysis in the EEG
Constrained ICA for seizure onset analysis in the EEG
The extraction of epileptic seizure waveform from the electroencephalogram (EEG) using Independent Component Analysis (ICA) was demonstrated by James and Lowe. A recent variation, Constrained ICA, allows a supplied reference signal to select a single component to be extracted. We show how this algorithm can be applied to the problem of seizure waveform extraction from EEG signals prior to the visible onset of a seizure. The algorithm also allows information such as topographic maps of the seizure waveforms to be obtained. Automatic early detection of such waveforms could lead to a real time system for seizure prediction.
0954315707
IEEE EMB Student Society UK and RI
Gibson, O.
f8a19e06-1d25-4c52-b539-6541e0439335
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
James, Christopher J.
Gibson, O.
f8a19e06-1d25-4c52-b539-6541e0439335
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
James, Christopher J.

Gibson, O. and James, C.J. (2002) Constrained ICA for seizure onset analysis in the EEG. James, Christopher J. (ed.) In Proceedings of the IEEE EMBSS UK and ROI PG onference in biomedical engineering and medical physics: interfacing engineering expertise with medical applications. IEEE EMB Student Society UK and RI..

Record type: Conference or Workshop Item (Paper)

Abstract

The extraction of epileptic seizure waveform from the electroencephalogram (EEG) using Independent Component Analysis (ICA) was demonstrated by James and Lowe. A recent variation, Constrained ICA, allows a supplied reference signal to select a single component to be extracted. We show how this algorithm can be applied to the problem of seizure waveform extraction from EEG signals prior to the visible onset of a seizure. The algorithm also allows information such as topographic maps of the seizure waveforms to be obtained. Automatic early detection of such waveforms could lead to a real time system for seizure prediction.

This record has no associated files available for download.

More information

Published date: 2002
Venue - Dates: IEEE EMBSS PG Conference in Biomedical Engineering and Medical Physics, Birmingham, UK, 2002-07-01 - 2002-07-02

Identifiers

Local EPrints ID: 10917
URI: http://eprints.soton.ac.uk/id/eprint/10917
ISBN: 0954315707
PURE UUID: 575dd518-8f8d-4019-9a25-5ed9ea352d98

Catalogue record

Date deposited: 09 Feb 2006
Last modified: 11 Dec 2021 13:36

Export record

Contributors

Author: O. Gibson
Author: C.J. James
Editor: Christopher J. James

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×