Abstract: In this chapter we propose a solution to the Electroencephalography (EEG) inverse problem combining two techniques, which are the Sequential Monte Carlo (SMC) method for estimating the coordinates of the first two non-correlated dominative brain zones (represented by their respective current dipoles) and spatial filtering which is done by beamforming based on EEG data. Beamforming (BF) gives estimates of the respective source moments. In order to validate this novel approach for brain source localization, EEG data from dipoles with known locati...
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Topics: 
Algorithm
Artificial intelligence