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Volumn 2007, Issue , 2007, Pages

Classifying EEG for brain-computer interface: Learning optimal filters for dynamical system features

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Indexed keywords


EID: 41149119970     PISSN: 16875265     EISSN: 16875273     Source Type: Journal    
DOI: 10.1155/2007/57180     Document Type: Article
Times cited : (29)

References (16)
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    • Event-related EEG/MEG synchronization and desynchronization: Basic principles
    • pfu@dpmi.tu-graz.ac.at
    • G. Pfurtscheller pfu@dpmi.tu-graz.ac.at F. H. Lopes da Silva Event-related EEG/MEG synchronization and desynchronization: basic principles. Clinical Neurophysiology 110 11 1999 1842 1857
    • (1999) Clinical Neurophysiology , vol.110 , Issue.11 , pp. 1842-1857
    • Pfurtscheller, G.1    Lopes Da Silva, F.H.2
  • 8
    • 2442671691 scopus 로고    scopus 로고
    • Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
    • G. Dornhege B. Blankertz G. Curio K.-R. Müller Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms. IEEE Transactions on Biomedical Engineering 51 2004 6 993 1002
    • (2004) IEEE Transactions on Biomedical Engineering , vol.51 , Issue.6 , pp. 993-1002
    • Dornhege, G.1    Blankertz, B.2    Curio, G.3    Müller, K.-R.4
  • 9
    • 10244235189 scopus 로고    scopus 로고
    • Phase synchronization for the recognition of mental tasks in a brain-computer interface
    • elly.gysels@csem.ch
    • E. Gysels elly.gysels@csem.ch P. Celka Phase synchronization for the recognition of mental tasks in a brain-computer interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering 12 4 2004 406 415
    • (2004) IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol.12 , Issue.4 , pp. 406-415
    • Gysels, E.1    Celka, P.2
  • 10
    • 41149083341 scopus 로고    scopus 로고
    • Phase synchrony rate for the recognition of motor imagery in brain-computer interface
    • MIT Press Cambridge, Mass, USA
    • L. Song E. Gysels E. Gordon Phase synchrony rate for the recognition of motor imagery in brain-computer interface. Advances in Neural Information Processing Systems 18 MIT Press Cambridge, Mass, USA 2006 1265 1272
    • (2006) Advances in Neural Information Processing Systems , vol.18 , pp. 1265-1272
    • Song, L.1    Gysels, E.2    Gordon, E.3
  • 11
    • 33947653187 scopus 로고    scopus 로고
    • Improving separability of EEG signals during motor imagery with an efficient circular Laplacian
    • lesong@it.usyd.edu.au julien.epps@nicta.com.au Toulouse, France
    • L. Song lesong@it.usyd.edu.au J. Epps julien.epps@nicta.com.au Improving separability of EEG signals during motor imagery with an efficient circular Laplacian. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '06) Toulouse, France 2 2006 1048 1051
    • (2006) Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '06) , vol.2 , pp. 1048-1051
    • Song, L.1    Epps, J.2
  • 15
    • 41149104296 scopus 로고    scopus 로고
    • X. Gao Z. Zhang B. Hong S. Gao http://ida.first.fraunhofer.de/projects/ bci/competition_iii/results/berlin_IVa/YijunWang_desc.pdf
    • Gao, X.1    Zhang, Z.2    Hong, B.3    Gao, S.4
  • 16
    • 33749262824 scopus 로고    scopus 로고
    • Classifying EEG for brain-computer interfaces: Learning optimal filters for dynamical system features
    • Pittsburgh, Pa, USA
    • L. Song J. Epps Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features. Proceedings of the 23rd International Conference on Machine Learning (ICML '06) Pittsburgh, Pa, USA 2006 857 864
    • (2006) Proceedings of the 23rd International Conference on Machine Learning (ICML '06) , pp. 857-864
    • Song, L.1    Epps, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.