A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering

NeuroImage

Volumn 23, Issue 2, 2004, Pages 435-453

  Galka, Andreas ^a,b   Yamashita, Okito ^c   Ozaki, Tohru ^b,c   Biscay, Rolando ^d   Valdés Sosa, Pedro ^e  

^a UNIVERSITY OF KIEL   (Germany)

^b INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

^c GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

^d UNIVERSITY OF HAVANA   (Cuba)

^e CUBAN NEUROSCIENCE CENTER   (Cuba)

Author keywords

AIC; EEG; Inverse problem; Kalman filtering; Maximum likelihood; Spatiotemporal modeling; Whitening

Indexed keywords

ALGORITHM; ARTICLE; CHRONOTHERAPY; DYNAMICS; ELECTRIC POTENTIAL; ELECTROENCEPHALOGRAM; ERROR; FILTRATION; GRAY MATTER; MATHEMATICAL ANALYSIS; PERFORMANCE; PRIORITY JOURNAL; RECORDING;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; MODELS, NEUROLOGICAL;

EID: 5644287341     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2004.02.022     Document Type: Article

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