A framework for evaluating ICA methods of artifact removal from multichannel EEG

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3195, Issue , 2004, Pages 1033-1040

  Glass, Kevin A ^a   Frishkoff, Gwen A ^a   Frank, Robert M ^a   Davey, Colin ^b   Dien, Joseph ^c   Malony, Allen D ^a   Tucker, Don M ^a  

^a UNIVERSITY OF OREGON   (United States)

^b Electrical Geodesics Inc   (United States)

^c UNIVERSITY OF KANSAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION;

ARTIFACT REMOVAL; DATA CHARACTERISTICS; FAST-ICA; MULTICHANNEL EEG; MULTIPLE DATA SETS; SYNTHETIC DATA; TOPOGRAPHIC ANALYSIS; WAVE FORMS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 33947101394     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_130     Document Type: Article

References (11)

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