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
2002
Gibson, O.
f8a19e06-1d25-4c52-b539-6541e0439335
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
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.
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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
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Date deposited: 09 Feb 2006
Last modified: 11 Dec 2021 13:36
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Contributors
Author:
O. Gibson
Author:
C.J. James
Editor:
Christopher J. James
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