Document Detail

Removal of BCG artifacts using a non-Kirchhoffian overcomplete representation.
MedLine Citation:
PMID:  19342324     Owner:  NLM     Status:  MEDLINE    
We present a nonlinear unmixing approach for extracting the ballistocardiogram (BCG) from EEG recorded in an MR scanner during simultaneous acquisition of functional MRI (fMRI). First, an overcomplete basis is identified in the EEG based on a custom multipath EEG electrode cap. Next, the overcomplete basis is used to infer non-Kirchhoffian latent variables that are not consistent with a conservative electric field. Neural activity is strictly Kirchhoffian while the BCG artifact is not, and the representation can hence be used to remove the artifacts from the data in a way that does not attenuate the neural signals needed for optimal single-trial classification performance. We compare our method to more standard methods for BCG removal, namely independent component analysis and optimal basis sets, by looking at single-trial classification performance for an auditory oddball experiment. We show that our overcomplete representation method for removing BCG artifacts results in better single-trial classification performance compared to the conventional approaches, indicating that the derived neural activity in this representation retains the complex information in the trial-to-trial variability.
Mads Dyrholm; Robin Goldman; Paul Sajda; Truman R Brown
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Publication Detail:
Type:  Letter; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  56     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2009 Feb 
Date Detail:
Created Date:  2009-04-03     Completed Date:  2009-09-02     Revised Date:  2013-06-02    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  200-4     Citation Subset:  IM    
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MeSH Terms
Ballistocardiography / methods*
Electroencephalography / instrumentation,  methods*
Magnetic Resonance Imaging / methods*
Principal Component Analysis
Signal Processing, Computer-Assisted
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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