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Volumn , Issue , 2011, Pages 6281-6284

Classification of intended motor movement using surface EEG ensemble empirical mode decomposition

Author keywords

[No Author keywords available]

Indexed keywords

ARM MOVEMENTS; BINARY CLASSIFICATION; CLASSIFICATION ACCURACY; CONTROL SCHEMES; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; FISHER LINEAR DISCRIMINATIONS; HEALTHY SUBJECTS; INTRINSIC MODE FUNCTIONS; MOTOR CONTROL; MOTOR MOVEMENTS; NORMALIZATION FACTORS; OVER POTENTIAL; PROSTHETIC DEVICES; RADIAL BASIS FUNCTIONS; RAW SIGNALS; REACHING TASK; SIGNAL FEATURES; SURFACE ELECTRODE; VISUAL CUES;

EID: 84864583021     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091550     Document Type: Conference Paper
Times cited : (17)

References (14)
  • 1
    • 70349771057 scopus 로고    scopus 로고
    • The brain-computer interface cycle
    • M. van Gerven et al., "The brain-computer interface cycle," J Neural Eng, vol. 6, p. 041001, 2009.
    • (2009) J Neural Eng , vol.6 , pp. 041001
    • Van Gerven, M.1
  • 2
    • 79954559113 scopus 로고    scopus 로고
    • Critical issues in state-of-the-art brain-computer interface signal processing
    • D.J. Krusienski1 et al. "Critical issues in state-of-the-art brain-computer interface signal processing," J Neural Eng, vol. 8, p. 025002, 2011.
    • (2011) J Neural Eng , vol.8 , pp. 025002
    • Krusienski, D.J.1
  • 3
    • 33747876221 scopus 로고    scopus 로고
    • Brain-machine interfaces: Past, present and future
    • M.A. Lebedev and M.A. Nicolelis, "Brain-machine interfaces: past, present and future," Trends in Neurosciences, vol. 29, No.9, 2006.
    • (2006) Trends in Neurosciences , vol.29 , Issue.9
    • Lebedev, M.A.1    Nicolelis, M.A.2
  • 4
    • 36549008781 scopus 로고    scopus 로고
    • Decoding two-dimensional movement trajectories using electrocorticographic signals in humans
    • G. Schalk et al. "Decoding two-dimensional movement trajectories using electrocorticographic signals in humans," Journal of Neural Engineering, vol. 4, pp. 264-275, 2007.
    • (2007) Journal of Neural Engineering , vol.4 , pp. 264-275
    • Schalk, G.1
  • 5
    • 0242508627 scopus 로고    scopus 로고
    • Imagery of voluntary movement of fingers, toes, and tongue activates corresponding body-part-specific motor representations
    • H.H. Ehrsson, S. Geyer and E. Naito, "Imagery of voluntary movement of fingers, toes, and tongue activates corresponding body-part-specific motor representations," Journal of Neurophysiology, vol. 90, pp. 3304-3316, 2003.
    • (2003) Journal of Neurophysiology , vol.90 , pp. 3304-3316
    • Ehrsson, H.H.1    Geyer, S.2    Naito, E.3
  • 7
    • 1242283941 scopus 로고    scopus 로고
    • EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
    • A. Delorme and S. Makeig, "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis," J Neurosci Methods, vol. 134, pp. 9-21, 2004.
    • (2004) J Neurosci Methods , vol.134 , pp. 9-21
    • Delorme, A.1    Makeig, S.2
  • 8
    • 77951980342 scopus 로고    scopus 로고
    • Predicting intended movement direction using EEG from human posterior parietal cortex
    • HCI international conference
    • Y. Wang and S. Makeig, "Predicting intended movement direction using EEG from human posterior parietal cortex," HCI international conference, vol. LNAI 5638, pp. 437-446, 2009.
    • (2009) LNAI , vol.5638 , pp. 437-446
    • Wang, Y.1    Makeig, S.2
  • 10
    • 80052078099 scopus 로고    scopus 로고
    • Ensemble empirical mode decomposition: A noise-assisted data analysis method
    • Z. Wu and N.E. Huang, "Ensemble empirical mode decomposition: A noise-assisted data analysis method" Advances in Adaptive Data Analysis, 1(No.1): p. 1-41, 2009.
    • (2009) Advances in Adaptive Data Analysis , vol.1 , Issue.1 , pp. 1-41
    • Wu, Z.1    Huang, N.E.2
  • 11
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis
    • N.E. Huang et al., "The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis," Proc. R. Soc. Lond. A, 454: p. 903-995, 1998.
    • (1998) Proc. R. Soc. Lond. A , vol.454 , pp. 903-995
    • Huang, N.E.1
  • 12
    • 77955096357 scopus 로고    scopus 로고
    • Extraction of single-trial cortical beta oscillatory activities in EEG signals using empirical mode decomposition
    • C.L. Yeh, H.C. Chang, C.H. Wu and P.L. Lee, "Extraction of single-trial cortical beta oscillatory activities in EEG signals using empirical mode decomposition," Biomed Eng Online, 9: p. 25, 2010.
    • (2010) Biomed Eng Online , vol.9 , pp. 25
    • Yeh, C.L.1    Chang, H.C.2    Wu, C.H.3    Lee, P.L.4
  • 13
    • 78549249815 scopus 로고    scopus 로고
    • A novel technique for phase synchrony measurement from the complex motor imaginary potential of combined body and limb action
    • Z.X. Zhou, B.K. Wan, D. Ming and H.Z. Qi, "A novel technique for phase synchrony measurement from the complex motor imaginary potential of combined body and limb action," J Neural Eng, 7(4): p. 046008, 2010.
    • (2010) J Neural Eng , vol.7 , Issue.4 , pp. 046008
    • Zhou, Z.X.1    Wan, B.K.2    Ming, D.3    Qi, H.Z.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.