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Volumn , Issue , 2013, Pages 7068-7071

Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN ACTIVITY; COGNITIVE BEHAVIOR; EEG SIGNALS; EIGENDECOMPOSITION METHODS; FEATURE ESTIMATION; FEATURE RELEVANCE; MOTOR IMAGERY; STATE-OF-THE-ART APPROACH;

EID: 84886553746     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6611186     Document Type: Conference Paper
Times cited : (7)

References (11)
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  • 4
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  • 5
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    • (2009) Nat. Comp., 2009. ICNC '09. 5th Int. Conf. , vol.2
    • Ming-Ai, L.1
  • 6
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    • A. Teixeira et al., "How to apply nonlinear subspace techniques to univariate biomedical time series, " IEEE Trans. on Instrument. and Measur., vol. 58, no. 8, pp. 2433-2443, 2009.
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  • 7
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    • Mu rhythm (de)synchronization and eeg singletrial classification of different motor imagery tasks
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  • 8
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.