Stability of ICA decomposition across within-subject EEG datasets

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 6735-6739

  Grandchamp, Romain ^a   Braboszcz, Claire ^a   Makeig, Scott ^b   Delorme, Arnaud ^a  

^a Brain and Cognition Research Center in Toulouse   (France)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN ELECTRICAL SOURCES; CLUSTERING TECHNIQUES; CONTINUOUS DATA; DATA SETS; EYE BLINK; INDEPENDENT COMPONENTS; INFOMAX ICA; MULTI-CHANNEL; STABLE SOLUTIONS;

BIOELECTRIC PHENOMENA; DECOMPOSITION; EYE MOVEMENTS;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; ARTIFACT; BLINKING; BRAIN; BRAIN COMPUTER INTERFACE; BRAIN MAPPING; CLUSTER ANALYSIS; COMPUTER PROGRAM; ELECTROENCEPHALOGRAPHY; EYE MOVEMENT; HUMAN; METHODOLOGY; PATHOLOGY; SCALP; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; ARTIFACTS; BLINKING; BRAIN; BRAIN MAPPING; BRAIN-COMPUTER INTERFACES; CLUSTER ANALYSIS; ELECTROENCEPHALOGRAPHY; EYE MOVEMENTS; HUMANS; MODELS, STATISTICAL; SCALP; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 84884188570     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347540     Document Type: Conference Paper

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