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Volumn , Issue , 2011, Pages 372-375

Experiments on using combined short window bivariate autoregression for EEG classification

Author keywords

[No Author keywords available]

Indexed keywords

AUTOREGRESSION; BIVARIATE; BRAIN ACTIVITY; CLASSIFICATION ACCURACY; DATA SETS; EEG CLASSIFICATION; EEG SIGNALS; MOTOR IMAGERY; MULTIPLE CHANNELS; OVERLAPPING WINDOW; SINGLE CHANNELS; SVM CLASSIFIERS; UNIVARIATE;

EID: 79960382311     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2011.5910564     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 1
    • 0032031368 scopus 로고    scopus 로고
    • Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks
    • C. W. Anderson, E. A. Stolz and S. Shamsunder, "Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks", IEEE Trans. Biomed. Eng., vol. 45, no. 3, pp. 277-286, 1998.
    • (1998) IEEE Trans. Biomed. Eng. , vol.45 , Issue.3 , pp. 277-286
    • Anderson, C.W.1    Stolz, E.A.2    Shamsunder, S.3
  • 2
    • 41149173178 scopus 로고    scopus 로고
    • Brain-computer interfaces: Towards practical implementations and potential applications
    • Article ID 62637
    • F. Babiloni, A. Cichocki, and S. Gao, "Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications", Special Issues in Computational Intelligence and Neuroscience, vol. 2007, Article ID 62637, 2 pages, 2007.
    • (2007) Special Issues in Computational Intelligence and Neuroscience , vol.2007 , pp. 2
    • Babiloni, F.1    Cichocki, A.2    Gao, S.3
  • 3
    • 79960376303 scopus 로고    scopus 로고
    • BCI Competition II, http://www.bbci.de/competition/ii
  • 4
    • 79960374536 scopus 로고    scopus 로고
    • A comparison of univariate, multivariate, bilinear autoregressive, and bandpower features for brain-computer interfaces
    • Asilomar, CA, USA
    • C. Brunner, M. Billinger, and C. Neuper, "A Comparison of Univariate, Multivariate, Bilinear Autoregressive, and Bandpower Features for Brain-Computer Interfaces", Fourth International BCI Meeting, Asilomar, CA, USA 2010.
    • (2010) Fourth International BCI Meeting
    • Brunner, C.1    Billinger, M.2    Neuper, C.3
  • 10
    • 0041353046 scopus 로고    scopus 로고
    • Real-world applications for brain-computer interface technology
    • M. M. Melody, "Real-World Applications for Brain-Computer Interface Technology", IEEE Trans. Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 162-167, 2003.
    • (2003) IEEE Trans. Neural Systems and Rehabilitation Engineering , vol.11 , Issue.2 , pp. 162-167
    • Melody, M.M.1
  • 11
    • 4444355027 scopus 로고    scopus 로고
    • Identifying true brain interaction from EEG data using the imaginary part of coherency
    • G. Nolte, U. Bai, L. Weathon, Z. Mari, S. Vorbach, and M. Hallet, "Identifying true brain interaction from EEG data using the imaginary part of coherency", Neurophysiology, vol. 115, pp. 2294-2307, 2004.
    • (2004) Neurophysiology , vol.115 , pp. 2294-2307
    • Nolte, G.1    Bai, U.2    Weathon, L.3    Mari, Z.4    Vorbach, S.5    Hallet, M.6
  • 12
    • 78751515806 scopus 로고    scopus 로고
    • Tensor decompositions for feature extraction and classification of high dimensional datasets
    • IEICE invited paper October, in print
    • A. H. Phan and A. Cichocki, "Tensor decompositions for feature extraction and classification of high dimensional datasets", Nonlinear Theory and Its Applications, IEICE (invited paper) October 2010 (in print).
    • (2010) Nonlinear Theory and its Applications
    • Phan, A.H.1    Cichocki, A.2
  • 13
    • 34547748489 scopus 로고    scopus 로고
    • 1st. Edition, ch. 2, John Wiley and Sons
    • S. Sanei and J. A. Chambers, "EEG Signal Processing", 1st. Edition, ch. 2, pp. 42, John Wiley and Sons, 2007.
    • (2007) EEG Signal Processing , pp. 42
    • Sanei, S.1    Chambers, J.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.