Document Detail

Removing ballistocardiogram (BCG) artifact from full-scalp EEG acquired inside the MR scanner with Orthogonal Matching Pursuit (OMP).
MedLine Citation:
PMID:  25120421     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Ballistocardiogram (BCG) artifact remains a major challenge that renders electroencephalographic (EEG) signals hard to interpret in simultaneous EEG and functional MRI (fMRI) data acquisition. Here, we propose an integrated learning and inference approach that takes advantage of a commercial high-density EEG cap, to estimate the BCG contribution in noisy EEG recordings from inside the MR scanner. To estimate reliably the full-scalp BCG artifacts, a near-optimal subset (20 out of 256) of channels first was identified using a modified recording setup. In subsequent recordings inside the MR scanner, BCG-only signal from this subset of channels was used to generate continuous estimates of the full-scalp BCG artifacts via inference, from which the intended EEG signal was recovered. The reconstruction of the EEG was performed with both a direct subtraction and an optimization scheme. We evaluated the performance on both synthetic and real contaminated recordings, and compared it to the benchmark Optimal Basis Set (OBS) method. In the challenging non-event-related-potential (non-ERP) EEG studies, our reconstruction can yield more than fourteen-fold improvement in reducing the normalized RMS error of EEG signals, compared to OBS.
Hongjing Xia; Dan Ruan; Mark S Cohen
Publication Detail:
Type:  Journal Article     Date:  2014-07-29
Journal Detail:
Title:  Frontiers in neuroscience     Volume:  8     ISSN:  1662-4548     ISO Abbreviation:  Front Neurosci     Publication Date:  2014  
Date Detail:
Created Date:  2014-08-14     Completed Date:  2014-08-14     Revised Date:  2014-08-18    
Medline Journal Info:
Nlm Unique ID:  101478481     Medline TA:  Front Neurosci     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  218     Citation Subset:  -    
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