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Application of Prewhitening Beamformer with Linear Constraints for Correlated EEG Signal Source Estimation
Abstract
To investigate the effect of signal correlation, the authors compared the relative abilities to estimate the source of an ERD/ERS signal among minimum variance beamformer (MVBF), linearly constrained (LC)-MVBF, prewhitening beamformer (PWBF), and LC-PWBF during the measurement of correlated signals. In numerical simulations, equivalent current dipoles were placed in the primary motor cortex to detect the modulation of µ and ß rhythms. It was confirmed that the location bias of LC-PWBF was smaller than that of MVBF, LC-MVBF, and PWBF. These results suggest that LC-PWBF is useful for estimating the location of signal sources that are highly correlated and have low signal-to-noise ratio.
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