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

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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.

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Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
?? eegsource localisationparticle filter (pf)beamforminginverse problemsbrain electrical source localization filtering and state estimation hidden markov modelscomputing, communications and ictqa75 electronic computers. computer science ??
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Deposited On:
25 Sep 2012 09:21
Last Modified:
16 Jul 2024 02:55