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Volumn , Issue , 2006, Pages

Parallel space-time-frequency decomposition of EEG signals for brain computer interfacing

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN-COMPUTER INTERFACING; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; PARAFAC; SINGLE TRIAL; SVM CLASSIFIERS; VECTOR MACHINES;

EID: 84862597980     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (12)
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    • July
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    • Pfurtscheller, G.1    Neuper, C.2
  • 5
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    • Phase and apmplitude analysis in time-frequency spaceapplication to voluntry finger movement
    • G. Ginter, K. J. Blinowska, M. Kaminski and P. J. Durka, "Phase and apmplitude analysis in time-frequency spaceapplication to voluntry finger movement," J. Neuro. Method., vol. 110, pp. 113-124, 2001.
    • (2001) J. Neuro. Method , vol.110 , pp. 113-124
    • Ginter, G.1    Blinowska, K.J.2    Kaminski, M.3    Durka, P.J.4
  • 6
    • 85032767291 scopus 로고    scopus 로고
    • Brain-computer interface in multimedia communication
    • Jan.
    • T. Ebrahimi, J.-M. Vesin, and G. Garcia, "Brain-computer interface in multimedia communication," IEEE Sig. Process. Mag., vol. 20, no. 1, pp. 14-24, Jan. 2003.
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  • 7
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    • Artifact removal from Electroencephalograms using a hybrid BSS-SVM algorithm
    • L. Shoker, S. Sanei, and J. Chambers, "Artifact removal from Electroencephalograms using a hybrid BSS-SVM algorithm," IEEE Sig. Process. Lett., vol. 12 no. 10, pp 721-724, 2005.
    • (2005) IEEE Sig. Process. Lett. , vol.12 , Issue.10 , pp. 721-724
    • Shoker, L.1    Sanei, S.2    Chambers, J.3
  • 8
    • 0002740437 scopus 로고
    • Foundation of the PARAFAC procedure: Models and conditions for an 'explanatory' multi-modal factor analysis
    • R. A. Harshman, "Foundation of the PARAFAC procedure: models and conditions for an 'explanatory' multi-modal factor analysis," UCLA Work. Pap. Phon. 16, 1-84, 1970.
    • (1970) UCLA Work. Pap. Phon. , vol.16 , pp. 1-84
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  • 9
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    • J. Moks, "Decomposing event-related potentials: a new topographic components model," J. Biol. Psychol. vol. 26, pp. 199-215, 1998.
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    • Topographic time-frequency decomposition of the EEG
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  • 12
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    • PhD Thesis. University of Amsterdam (NL) and Royal Veterinary and Agricultural University, Matlab toolbox available [Online]
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.