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This study presented an iterative MUSIC (Multiple Signal Classification) for highly correlated MEG source localization. By suppressing the equivalent source, the approximate source location information was obtained. And then, by iteratively suppressing source found in the last iteration, eventually, both of the sources were identified. The method is designed for two source case. Compared with other...
This paper proposed a method for brain electric activity localization by a combination of beamforming techniques and independent component analysis (ICA). By preprocessing the EEG data using ICA, the EEG data is decomposed into several fixed scalp maps and the corresponding one dimensional time courses. The product of each scalp map and the corresponding time courses generates the scalp EEG recordings...
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