메뉴 건너뛰기




Volumn 10, Issue 1, 2014, Pages 289-295

Using particle swarm to select frequency band and time interval for feature extraction of EEG based BCI

Author keywords

BCI; Common spatial pattern; Frequency band; Particle swarm optimization; Time interval

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; EXTRACTION; FREQUENCY BANDS; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84897985419     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2013.08.012     Document Type: Article
Times cited : (35)

References (30)
  • 2
    • 0043171157 scopus 로고    scopus 로고
    • Guest editorial brain-computer interface technology: A review of the second international meeting
    • T.M. Vaughan Guest editorial brain-computer interface technology: a review of the second international meeting IEEE Trans. Rehabil. Eng. 11 2 2003 94 109
    • (2003) IEEE Trans. Rehabil. Eng. , vol.11 , Issue.2 , pp. 94-109
    • Vaughan, T.M.1
  • 3
    • 34249029672 scopus 로고    scopus 로고
    • The non-invasive Berlin brain-computer interface: Fast acquisition of effective performance in untrained subjects
    • B. Blankertz, G. Dornhege, M. Krauledat, G. Curio, and K. Muller The non-invasive Berlin brain-computer interface: fast acquisition of effective performance in untrained subjects NeuroImage 37 2 2007 539 550
    • (2007) NeuroImage , vol.37 , Issue.2 , pp. 539-550
    • Blankertz, B.1    Dornhege, G.2    Krauledat, M.3    Curio, G.4    Muller, K.5
  • 4
    • 0034212486 scopus 로고    scopus 로고
    • Cortical ensemble activity increasingly predicts behavior outcomes during learning of a motor task
    • M. Laubach, J. Wessberg, and M.A.L. Nicolelis Cortical ensemble activity increasingly predicts behavior outcomes during learning of a motor task Nature 405 6786 2000 567 571
    • (2000) Nature , vol.405 , Issue.6786 , pp. 567-571
    • Laubach, M.1    Wessberg, J.2    Nicolelis, M.A.L.3
  • 5
    • 34247266129 scopus 로고    scopus 로고
    • A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals
    • A. Bashashati, M. Fatourechi, R.K. Ward, and G.E. Birch A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals J. Neural Eng. 4 2007 R32 R57
    • (2007) J. Neural Eng. , vol.4
    • Bashashati, A.1    Fatourechi, M.2    Ward, R.K.3    Birch, G.E.4
  • 6
    • 79551627007 scopus 로고    scopus 로고
    • An enhanced probabilistic LDA for multi-class brain-computer interface
    • P. Xu, P. Yang, X. Lei, and D. Yao An enhanced probabilistic LDA for multi-class brain-computer interface PLoS ONE 6 1 2001 e14634
    • (2001) PLoS ONE , vol.6 , Issue.1 , pp. 14634
    • Xu, P.1    Yang, P.2    Lei, X.3    Yao, D.4
  • 7
    • 74549222346 scopus 로고    scopus 로고
    • An empirical bayesian framework for brain-computer interfaces
    • X. Lei, P. Yang, and D. Yao An empirical bayesian framework for brain-computer interfaces IEEE Trans. Neural Syst. Rehabil. Eng. 17 6 2009 521 529
    • (2009) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.17 , Issue.6 , pp. 521-529
    • Lei, X.1    Yang, P.2    Yao, D.3
  • 8
    • 77956932514 scopus 로고    scopus 로고
    • An EEG-based BCI system for 2-D cursor control by combining Mu/Beta rhythm and P300 potential
    • Y. Li, J. Long, T. Yu, Z. Yu, C. Wang, H. Zhang, and C. Guan An EEG-based BCI system for 2-D cursor control by combining Mu/Beta rhythm and P300 potential IEEE Trans. Biomed. Eng. 57 10 2010 2495 2505
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , Issue.10 , pp. 2495-2505
    • Li, Y.1    Long, J.2    Yu, T.3    Yu, Z.4    Wang, C.5    Zhang, H.6    Guan, C.7
  • 10
    • 34247342909 scopus 로고    scopus 로고
    • Combining spatial filters for the classification of single-trial EEG in a finger movement task
    • X. Liao, D. Yao, D. Wu, and C. Li Combining spatial filters for the classification of single-trial EEG in a finger movement task IEEE Trans. Biomed. Eng. 54 5 2007 821 831
    • (2007) IEEE Trans. Biomed. Eng. , vol.54 , Issue.5 , pp. 821-831
    • Liao, X.1    Yao, D.2    Wu, D.3    Li, C.4
  • 12
    • 53949114223 scopus 로고    scopus 로고
    • Brain-computer interfaces in neurological rehabilitation
    • J. Daly, and J. Wolpaw Brain-computer interfaces in neurological rehabilitation Lancet Neurol. 7 11 2008 1032 1043
    • (2008) Lancet Neurol. , vol.7 , Issue.11 , pp. 1032-1043
    • Daly, J.1    Wolpaw, J.2
  • 15
    • 0032829330 scopus 로고    scopus 로고
    • Event-related EEG/MEG synchronization and desynchronization: Basic principles
    • G. Pfurtscheller, and F.H. Lopes da Silva Event-related EEG/MEG synchronization and desynchronization: basic principles Clin Neurophysiol. 110 1999 1842 1857
    • (1999) Clin Neurophysiol. , vol.110 , pp. 1842-1857
    • Pfurtscheller, G.1    Lopes Da Silva, F.H.2
  • 16
    • 0344849430 scopus 로고    scopus 로고
    • Designing optimal spatial filters for single-trial EEG classification in a movement task
    • J. Muller-Gerking, G. Pfurtscheller, and H. Flyvbjerg Designing optimal spatial filters for single-trial EEG classification in a movement task Clin. Neurophysiol. 110 1999 787 798
    • (1999) Clin. Neurophysiol. , vol.110 , pp. 787-798
    • Muller-Gerking, J.1    Pfurtscheller, G.2    Flyvbjerg, H.3
  • 19
    • 42049086363 scopus 로고    scopus 로고
    • Local temporal common spatial patterns for robust single-trial EEG classification
    • H. Wang, and W. Zheng Local temporal common spatial patterns for robust single-trial EEG classification IEEE Trans. Neural Syst. Rehabil. Eng. 16 2 2008 131 139
    • (2008) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.16 , Issue.2 , pp. 131-139
    • Wang, H.1    Zheng, W.2
  • 20
    • 78649234118 scopus 로고    scopus 로고
    • Regularized common spatial pattern with aggregation for EEG classification in small-sample setting
    • H. Lu, H.L. Eng, C. Guan, K.N. Plataniotis, and A.N. Venetsanopoulos Regularized common spatial pattern with aggregation for EEG classification in small-sample setting IEEE Trans. Biomed. Eng. 57 12 2010 2936 2946
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , Issue.12 , pp. 2936-2946
    • Lu, H.1    Eng, H.L.2    Guan, C.3    Plataniotis, K.N.4    Venetsanopoulos, A.N.5
  • 21
    • 79551538302 scopus 로고    scopus 로고
    • Regularizing common spatial patterns to improve BCI designs: Unified theory and new algorithms
    • F. Lotte, and C. Guan Regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms IEEE Trans. Biomed. Eng. 58 2 2011 355 362
    • (2011) IEEE Trans. Biomed. Eng. , vol.58 , Issue.2 , pp. 355-362
    • Lotte, F.1    Guan, C.2
  • 22
    • 74849091307 scopus 로고    scopus 로고
    • Spatio-spectral & temporal parameter searching using class correlation analysis and particle swarm optimization for a brain-computer interface
    • San Antonio, USA
    • A.R. Satti, D. Coyle, and G. Prasad Spatio-spectral & temporal parameter searching using class correlation analysis and particle swarm optimization for a brain-computer interface IEEE International Conference on Systems, Man and Cybernetics San Antonio, USA 2009
    • (2009) IEEE International Conference on Systems, Man and Cybernetics
    • Satti, A.R.1    Coyle, D.2    Prasad, G.3
  • 23
    • 58149236855 scopus 로고    scopus 로고
    • Could the beta rebound in the EEG be suitable to realize a "brain switch"?
    • G. Pfurtscheller, and T. Solis-Escalante Could the beta rebound in the EEG be suitable to realize a "brain switch"? Clin. Neurophysiol. 120 2009 24 29
    • (2009) Clin. Neurophysiol. , vol.120 , pp. 24-29
    • Pfurtscheller, G.1    Solis-Escalante, T.2
  • 27
    • 3142674350 scopus 로고    scopus 로고
    • An approach to multimodal biomedical image registration utilizing particle swarm optimization
    • M.P. Wachowiak, R. Smolikova, and Y.F. Zheng An approach to multimodal biomedical image registration utilizing particle swarm optimization IEEE Trans. Evol. Comput. 8 3 2004 289 301
    • (2004) IEEE Trans. Evol. Comput. , vol.8 , Issue.3 , pp. 289-301
    • Wachowiak, M.P.1    Smolikova, R.2    Zheng, Y.F.3
  • 28
    • 77950537813 scopus 로고    scopus 로고
    • Neuroelectric source imaging using 3SCO: A space coding algorithm based on particle swarm optimization and 10 norm constraint
    • P. Xu, Y. Tian, X. Lei, and D. Yao Neuroelectric source imaging using 3SCO: a space coding algorithm based on particle swarm optimization and 10 norm constraint Neuroimage 51 1 2010 183 205
    • (2010) Neuroimage , vol.51 , Issue.1 , pp. 183-205
    • Xu, P.1    Tian, Y.2    Lei, X.3    Yao, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.