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Volumn , Issue , 2010, Pages 1360-1363

Hybrid EEG-EOG brain-computer interface system for practical machine control

Author keywords

[No Author keywords available]

Indexed keywords

BIOSIGNALS; CLASSIFICATION ACCURACY; ELECTRO-OCULOGRAM; HYBRID FRAMEWORK; MACHINE CONTROLS; PRACTICAL ISSUES;

EID: 78650835053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626745     Document Type: Conference Paper
Times cited : (57)

References (14)
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    • Pfurtscheller, G.1    Neuper, C.2
  • 2
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  • 3
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    • Brain-computer interface-a new communication decive for handicapped persons
    • J. Kalcher, D. Flotzinger, and G. Pfurtscheller, "Brain-computer interface-a new communication decive for handicapped persons," J. Microcomput. Appl., vol.16, pp.293-299, 1993.
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    • Kalcher, J.1    Flotzinger, D.2    Pfurtscheller, G.3
  • 4
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    • Frequency component selection for an EEG-based brain computer interface
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    • M. Prezenger and G. Pfurtscheller, "Frequency component selection for an EEG-based brain computer interface," IEEE Trans. Rehabilitation Engineering, vol.7, pp.413-419, Dec. 1999.
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    • Prezenger, M.1    Pfurtscheller, G.2
  • 5
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    • Design and operation of an EEG-based brain-computer interface with digital signal processing technology
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    • (1997) Behav. Res. Methods, Instrum. Comput. , vol.3 , pp. 337-345
    • McFarland, D.J.1    Lefkowicz, A.T.2    Wolpaw, J.R.3
  • 6
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    • Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters
    • Sep.
    • G. Pfurtscheller, C. Neuper, A. Schlogl, and K. Lugger, "Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters," IEEE Trans. Rehabilitation Engineering, vol.6, pp.316-325, Sep. 1998.
    • (1998) IEEE Trans. Rehabilitation Engineering , vol.6 , pp. 316-325
    • Pfurtscheller, G.1    Neuper, C.2    Schlogl, A.3    Lugger, K.4
  • 8
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    • Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings
    • Sep.
    • N. F. Ince, S. Arica, and A. H. Tewfik, "Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings," J. Neural Eng., vol.3, pp.235-244, Sep. 2006.
    • (2006) J. Neural Eng. , vol.3 , pp. 235-244
    • Ince, N.F.1    Arica, S.2    Tewfik, A.H.3
  • 9
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    • Extraction subject-specific motor imagery time-frequency patterns for single trial EEG classification
    • Apr.
    • N. F. Ince, A. H. Tewfik, and S. Arica, "Extraction subject-specific motor imagery time-frequency patterns for single trial EEG classification, " Computers in Biology and Medicine, vol.37, pp.499-508, Apr. 2007.
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  • 10
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  • 14
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    • Naeem, M.1    Brunner, C.2    Leeb, R.3    Graimann, B.4    Pfurtscheller, G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.