Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals

Clinical Neurophysiology

Volumn 115, Issue 5, 2004, Pages 1220-1232

  Barbati, Giulia ^a   Porcaro, Camillo ^a   Zappasodi, Filippo ^b   Rossini, Paolo Maria ^a,c   Tecchio, Franca ^a,b  

^a FATEBENEFRATELLI HOSPITAL   (Italy)

^b CNR   (Italy)

^c UNIVERSITY CAMPUS BIO MEDICO   (Italy)

Author keywords

Automatic detection; Blind source separation; Discrepancy; Independent component analysis

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFACT; DATA ANALYSIS; ELECTROCARDIOGRAM; ELECTRONEUROLOGY; ELECTROOCULOGRAM; EVALUATION; INFORMATION PROCESSING; MAGNETOENCEPHALOGRAPHY; NOISE REDUCTION; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFACTS; BRAIN; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; ELECTROOCULOGRAPHY; FACTOR ANALYSIS, STATISTICAL; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, STATISTICAL; NORMAL DISTRIBUTION;

EID: 1842455280     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2003.12.015     Document Type: Article

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