Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 53, Issue 9, Pages 1755-1764Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2006.878119
Keywords
adaptive beamforming; brain noise; magnetoen-cephalography; prewhitening; source reconstruction
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Funding
- NCRR NIH HHS [P41 RR012553, P41RR12553-03] Funding Source: Medline
- NIDCD NIH HHS [R01 DC004855-01A1, R01 DC004855, R01-DC004855-01A1] Funding Source: Medline
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This paper proposes a novel prewhitening eigenspace beamformer suitable for magnetoencephalogram (MEG) source reconstruction when large background brain activities exist. The prerequisite for the method is that control-state measurements, which contain only the contributions from the background interference, be available, and that the covariance matrix of the background interference can be obtained from such control-state measurements. The proposed method then uses this interference covariance matrix to remove the influence of the interference in the reconstruction obtained from the target measurements. A numerical example, as well as applications to two types of ME data, demonstrates the effectiveness of the proposed method.
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