An objective study into single vs multiple channel brain signal analysis using realistic ictal EEG
An objective study into single vs multiple channel brain signal analysis using realistic ictal EEG
Information on electromagnetic (EM) brain function can be extracted from electroencephalographic (EEG) recordings through various signal processing techniques
and it is usually assumed that this requires multiple simultaneous recordings. However,
sometimes only a single channel of EEG is available. Here we objectively assess a novel
methodology which exploits only a single measurement channel to extract information of
interest. The method relies on a combination of a nonlinear dynamical systems framework
and constrained Independent Component Analysis (ICA) which incorporates prior information into the process. We use synthetically generated ictal EEG, composed of real multichannel EEG onto which is superimposed known “seizure-like” activity, at different SNR levels, through an equivalent current dipole (ECD) model. We show that the method can extract desired information from single channels with a reasonable accuracy even at very small SNR and from channels distant from the focus of the activity.
eeg, brain signals, independent component analysis, dynamical embedding, single-channel, epilepsy
184387 023 1
139-144
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
Lowe, D.
3839d69d-7c99-4f4a-a37e-0a5731ff373b
Gibson, O.J.
c51d7244-b18b-46f6-952c-79e7d45cb5b8
2003
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
Lowe, D.
3839d69d-7c99-4f4a-a37e-0a5731ff373b
Gibson, O.J.
c51d7244-b18b-46f6-952c-79e7d45cb5b8
James, C.J., Lowe, D. and Gibson, O.J.
(2003)
An objective study into single vs multiple channel brain signal analysis using realistic ictal EEG.
5th International Conference on Neural Networks and Expert Systems in Medicine and Healthcareö NNESMED/CIMED, Sheffield, UK.
20 - 22 Jul 2003.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Information on electromagnetic (EM) brain function can be extracted from electroencephalographic (EEG) recordings through various signal processing techniques
and it is usually assumed that this requires multiple simultaneous recordings. However,
sometimes only a single channel of EEG is available. Here we objectively assess a novel
methodology which exploits only a single measurement channel to extract information of
interest. The method relies on a combination of a nonlinear dynamical systems framework
and constrained Independent Component Analysis (ICA) which incorporates prior information into the process. We use synthetically generated ictal EEG, composed of real multichannel EEG onto which is superimposed known “seizure-like” activity, at different SNR levels, through an equivalent current dipole (ECD) model. We show that the method can extract desired information from single channels with a reasonable accuracy even at very small SNR and from channels distant from the focus of the activity.
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Published date: 2003
Venue - Dates:
5th International Conference on Neural Networks and Expert Systems in Medicine and Healthcareö NNESMED/CIMED, Sheffield, UK, 2003-07-20 - 2003-07-22
Keywords:
eeg, brain signals, independent component analysis, dynamical embedding, single-channel, epilepsy
Identifiers
Local EPrints ID: 10975
URI: http://eprints.soton.ac.uk/id/eprint/10975
ISBN: 184387 023 1
PURE UUID: bedd5758-c160-4c2b-9c18-42111d63e88d
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Date deposited: 12 May 2005
Last modified: 11 Dec 2021 13:37
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Contributors
Author:
C.J. James
Author:
D. Lowe
Author:
O.J. Gibson
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