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Volumn 4234 LNCS - III, Issue , 2006, Pages 82-91

Automatic detection of critical epochs in coma-EEG using independent component analysis and higher order statistics

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; ENTROPY; INDEPENDENT COMPONENT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL METHODS;

EID: 33750708872     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893295_10     Document Type: Conference Paper
Times cited : (2)

References (14)
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    • (2005) Proc. of IJCNN , pp. 2532-2537
    • La Foresta, F.1    Morabito, F.C.2    Azzerboni, B.3    Ipsale, M.4
  • 4
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    • Electrophysiologic evaluation of brain death: A clinical appraisal
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    • Chratian, G.1
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    • 0031702524 scopus 로고    scopus 로고
    • Chronic 'brain death': Meta-analysis and conceptual consequences
    • Shewmon, D.: Chronic 'brain death': meta-analysis and conceptual consequences. American Journal of Neurology 51 (1998) 1538-1541.
    • (1998) American Journal of Neurology , vol.51 , pp. 1538-1541
    • Shewmon, D.1
  • 9
    • 1242283941 scopus 로고    scopus 로고
    • EEGLAB: An open source toolbox for analysis of singletrial EEG dynamics including independent component analysis
    • Delorme, A., Makeig, S.: EEGLAB: An open source toolbox for analysis of singletrial EEG dynamics including independent component analysis. Journal of Neuroscience Methods 134 (2004) 9-21.
    • (2004) Journal of Neuroscience Methods , vol.134 , pp. 9-21
    • Delorme, A.1    Makeig, S.2
  • 11
    • 0029411030 scopus 로고
    • An information-maximisation approach to blind separation and blind deconvolution
    • Bell, A.J., Sejnowski, T.J.: An information-maximisation approach to blind separation and blind deconvolution. Neural Computation 7 (1995) 1129-1159.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 12
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    • Independent Component Analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources
    • Lee, T.W., Girolami, M., Sejnowski, T.J.: Independent Component Analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources. Neural Computation 11(2), (1999) 606-633.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 606-633
    • Lee, T.W.1    Girolami, M.2    Sejnowski, T.J.3
  • 13
    • 33644910449 scopus 로고    scopus 로고
    • Automatic artifact rejection for EEG data using high-order statistics and independent component analysis
    • Delorme, A., Makeig, S., Sejnowski, T.J.: Automatic Artifact Rejection for EEG Data Using High-Order Statistics and Independent Component Analysis. Proc. of ICA (2001).
    • (2001) Proc. of ICA
    • Delorme, A.1    Makeig, S.2    Sejnowski, T.J.3
  • 14
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    • Blind source separation using Renyis marginal entropies
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.