Home > Research > Publications & Outputs > Particle filters and beamforming for EEG source...

Research

Associated organisational units

Links

Text available via DOI:

Keywords

View graph of relations

Particle filters and beamforming for EEG source estimation

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published
Close
More...
Publication date1/06/2012
Host publicationNeural Networks (IJCNN), The 2012 International Joint Conference on
Place of PublicationBrisbane, Australia
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)978-1-4673-1489-3
ISBN (Print)978-1-4673-1488-6
<mark>Original language</mark>English
Event2012 IEEE World Congress on Computational Intelligence - Brisbane, Australia
Duration: 10/06/2012 → 15/06/2012

Conference

Conference2012 IEEE World Congress on Computational Intelligence
Country/TerritoryAustralia
CityBrisbane
Period10/06/12 → 15/06/12

Conference

Conference2012 IEEE World Congress on Computational Intelligence
Country/TerritoryAustralia
CityBrisbane
Period10/06/12 → 15/06/12

Abstract

This is a proof of concept work that proposes a solution to the inverse problem of EEG source estimation by combining two techniques, namely a Particle Filter (PF) for geometrical (3D) localization of the most active brain zones (expressed by two dipoles) and a beamformer (BF) as a spatial filter for estimation of the oscillations that have originated the recorded EEG data. The estimation is reliable for uncorrelated brain sources.