Particle filters and beamforming for EEG source estimation
Pétia Georgieva, Lyudmila S. Mihaylova, Nidhal Carla Bouaynaya, Lakhmi C. Jain · 2012
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.