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We consider the problem of dipole source signals estimation in electroencephalography (EEG) using beamforming techniques in ill-conditioned settings. We take advantage of the link between the linearly constrained minimum-variance (LCMV) beamformer in sensor array processing and the best linear unbiased estimator (BLUE) in linear regression modeling. We show that the recently introduced reduced-rank...
We present a source localization method for electroencephalographic (EEG) data based on the linearly constrained minimum variance and eigencanceler beamformers. A region-of-interest (ROI) is selected through a short-term estimate of the signal's energy as constraint. Such constraint is only valid on the scalp, then an affine transformation is applied to map it to the brain cortex. After this process,...
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