Particle filters and beamforming for EEG source estimation

Georgieva, Petia and Mihaylova, Lyudmila and Bouaynaya, Nidhal and Jain, Lakhmi (2012) Particle filters and beamforming for EEG source estimation. In: Neural Networks (IJCNN), The 2012 International Joint Conference on. IEEE, AUS, pp. 1-8. ISBN 978-1-4673-1488-6

Full text not available from this repository.

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.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
ID Code:
58601
Deposited By:
Deposited On:
25 Sep 2012 09:21
Refereed?:
Yes
Published?:
Published
Last Modified:
26 Aug 2020 05:20