The University of Southampton
University of Southampton Institutional Repository

Space-time ICA and EM brain signals

Record type: Conference or Workshop Item (Paper)

Recently Single Channel ICA has been proposed where it can be shown that the algorithms learn temporal filters for separating the different components. Here we consider the natural extension to learning a set of space-time separating filters. We argue that these are capable of separation above and beyond that possible using only spatial or temporal methods alone. We then consider the potential of these ideas when applied to Ictal Electroencephalographic (EEG) data and Brain Computer Interaction (BCI).

Full text not available from this repository.

Citation

Davies, Mike E., James, Christopher C. and Wang, Suogang, (2007) Space-time ICA and EM brain signals Davies, Mike E., James, Christopher C., Abdallah, Samer A. and Plumbley, Mark D. (eds.) In Independent Component Analysis and Signal Separation: 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings. Springer., pp. 577-584. (doi:10.1007/978-3-540-74494-8_72).

More information

Published date: 2007
Venue - Dates: 7th International Conference on Independent Component Analysis and Signal Separation (ICA), 2007-09-09 - 2007-09-12

Identifiers

Local EPrints ID: 50456
URI: http://eprints.soton.ac.uk/id/eprint/50456
ISBN: 3540744932
PURE UUID: 5dfb108d-2158-4a0c-adc4-9996317c87bd

Catalogue record

Date deposited: 26 Feb 2008
Last modified: 17 Jul 2017 14:52

Export record

Altmetrics

Contributors

Author: Mike E. Davies
Author: Christopher C. James
Author: Suogang Wang
Editor: Mike E. Davies
Editor: Christopher C. James
Editor: Samer A. Abdallah
Editor: Mark D. Plumbley

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 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.

×