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, Brisbane, Australia, pp. 1-8. ISBN 978-1-4673-1488-6Full text not available from this repository.
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:||EEG ; Source localisation ; Particle filter (PF) ; Beamforming ; Inverse problems ; brain electrical source localization ; filtering and state estimation ; hidden markov models|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||25 Sep 2012 10:21|
|Last Modified:||25 Feb 2017 02:23|
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