Independent Vector Analysis for Gradient Artifact Removal in Concurrent EEG-fMRI Data

IEEE Transactions on Biomedical Engineering

Volumn 62, Issue 7, 2015, Pages 1750-1758

  Acharjee, Partha Pratim ^a   Phlypo, Ronald ^b   Wu, Lei ^c,d   Calhoun, Vince D ^c,d   Adali, Tulay ^b  

^a Baltimore County   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^c MIND RESEARCH NETWORK   (United States)

^d UNIVERSITY OF NEW MEXICO   (United States)

Author keywords

AAS; EEG; Gradient artifact; Independent component analysis; Independent vector analysis; joint blind source separation

Indexed keywords

BLIND SOURCE SEPARATION; INDEPENDENT COMPONENT ANALYSIS; INFORMATION USE; MAGNETIC RESONANCE IMAGING;

AAS; ELECTROENCEPHALOGRAM SIGNALS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT VECTOR ANALYSIS; JOINT BLIND SOURCE SEPARATIONS; QUASI-PERIODICITIES; SPATIAL DEPENDENCE; SPATIOTEMPORAL INFORMATION;

ELECTROENCEPHALOGRAPHY;

ARTICLE; ARTIFACT; CASE REPORT; ELECTROCARDIOGRAM; ELECTROENCEPHALOGRAM; ELECTROOCULOGRAM; ENTROPY; EYE MOVEMENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MOVEMENT; HUMAN; INDEPENDENT COMPONENT ANALYSIS; INDEPENDENT VECTOR ANALYSIS; NOISE REDUCTION; NORMAL HUMAN; STATISTICAL ANALYSIS; ELECTROENCEPHALOGRAPHY; FACTUAL DATABASE; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; SIGNAL PROCESSING;

ARTIFACTS; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; HUMANS; MAGNETIC RESONANCE IMAGING; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84933073746     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2015.2403298     Document Type: Article

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