Detecting evoked potentials with SVD- and ICA-based statistical models

IEEE Engineering in Medicine and Biology Magazine

Volumn 24, Issue 1, 2005, Pages 51-58

  Drozd, Maciej ^a,b,c   Husar, Peter ^c,d,e,f,g   Nowakowski, Antoni ^{a,g,h,i,j,k,l}   Henning, Guenter ^c,i,m,n  

^a GDANSK UNIVERSITY OF TECHNOLOGY   (Poland)

^b TUG   (Austria)

^c ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

^d Res Inst for Computer Engineering   (Slovakia)

^e SIEMENS AG   (Germany)

^f UNIVERSITY OF ILINA   (Slovakia)

^g IEEE   (Poland)

^h WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

ⁱ Warsaw University of Technology ^*  (Germany)

^j POLISH ACADEMY OF SCIENCES   (Poland)

^k Polish Society of the Sensor Technology   (Poland)

^l Pol Soc of Biomedical Engineering

^m Medical Academy Erfurt   (Germany)

ⁿ VDE   (Germany)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; INDEPENDENT COMPONENT ANALYSIS; SIGNAL DECOMPOSITION ANALYSIS; SIGNAL DETECTION; SINGULAR VALUE DECOMPOSITION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 13244268310     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/MEMB.2005.1384101     Document Type: Article

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