The University of Southampton
University of Southampton Institutional Repository

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
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
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. 21 - 23 Jul 2003. pp. 139-144 .

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.

Full text not available from this repository.

More information

Published date: 2003
Venue - Dates: 5th International Conference on Neural Networks and Expert Systems in Medicine and Healthcareö NNESMED/CIMED, 2003-07-21 - 2003-07-23
Keywords: eeg, brain signals, independent component analysis, dynamical embedding, single-channel, epilepsy

Identifiers

Local EPrints ID: 10975
URI: https://eprints.soton.ac.uk/id/eprint/10975
ISBN: 184387 023 1
PURE UUID: bedd5758-c160-4c2b-9c18-42111d63e88d

Catalogue record

Date deposited: 12 May 2005
Last modified: 17 Jul 2017 17:05

Export record

Contributors

Author: C.J. James
Author: D. Lowe
Author: O.J. Gibson

University divisions

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 https://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.

×