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Volumn 6, Issue , 2004, Pages 3726-3730

Feature extraction and classification of brain motor imagery task based on MVAR model

Author keywords

Discriminant analysis; ERD and ERS; Feature extraction; Mahalanobis distance; Motor imagery task; Mutual information; MVAR model

Indexed keywords

BRAIN; DATA REDUCTION; MATHEMATICAL MODELS; MEDICAL IMAGING; REGRESSION ANALYSIS; SIGNAL TO NOISE RATIO;

EID: 6344228381     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (13)
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  • 2
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    • 'Thought' - Control of functional electrical stimulation to restore hand grasp in patient with tetraplegia
    • Pfurtscheller G., Muller G R., and Pfurtscheller J., etc. 'Thought' - control of functional electrical stimulation to restore hand grasp in patient with tetraplegia. Neuroscience letters, Vol 351, pp.33-36, 2003.
    • (2003) Neuroscience Letters , vol.351 , pp. 33-36
    • Pfurtscheller, G.1    Muller, G.R.2    Pfurtscheller, J.3
  • 4
    • 0032168758 scopus 로고    scopus 로고
    • Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters
    • Pfurtscheller G, Neuper Ch, and Schlögl A, etc. Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters, IEEE Trans Rehabil Eng, Vol 6, No.3, pp. 316-325, 1998.
    • (1998) IEEE Trans Rehabil Eng , vol.6 , Issue.3 , pp. 316-325
    • Pfurtscheller, G.1    Neuper, Ch.2    Schlögl, A.3
  • 5
    • 0002537923 scopus 로고    scopus 로고
    • Estimation of parameters and eigenmodes of multivariate autoregressive models
    • Arnold N, and Tapio S. Estimation of parameters and eigenmodes of multivariate autoregressive models, ACM Transactions on Mathematical Software, Vol 27, No.l, pp. 27-57, 2001.
    • (2001) ACM Transactions on Mathematical Software , vol.27 , Issue.50 , pp. 27-57
    • Arnold, N.1    Tapio, S.2
  • 6
    • 0032031368 scopus 로고    scopus 로고
    • Multivariate autoregressive models for classification of spontaneous electroencephalographic signals
    • Anderson C W, Stolz E A, and Shamsunder S. Multivariate autoregressive models for classification of spontaneous electroencephalographic signals, IEEE Transactions on Biomedical Engineering, Vol 45, No.3, pp. 277-286, 1998.
    • (1998) IEEE Transactions on Biomedical Engineering , vol.45 , Issue.3 , pp. 277-286
    • Anderson, C.W.1    Stolz, E.A.2    Shamsunder, S.3
  • 8
    • 0035056127 scopus 로고    scopus 로고
    • Functional brain imaging based on ERD/ERS
    • Pfurtscheller G.. Functional brain imaging based on ERD/ERS. Vision research, Vol 41, pp. 1257-1260, 2001.
    • (2001) Vision Research , vol.41 , pp. 1257-1260
    • Pfurtscheller, G.1
  • 10
    • 1342284467 scopus 로고    scopus 로고
    • Feature extraction and classification of EEG during mental tasks based on fast multivariate autoregressive models
    • Xue Jianzhong, Zheng Chongxun, Yan Xiangguo. Feature Extraction and Classification of EEG during Mental Tasks Based on fast multivariate autoregressive models, Journal of Xi'an Jiaotong University, Vol 37, No. 8, pp.861-864, 2003.
    • (2003) Journal of Xi'an Jiaotong University , vol.37 , Issue.8 , pp. 861-864
    • Xue, J.1    Zheng, C.2    Yan, X.3
  • 13
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    • Estimating the mutual information of an EEG-based brain-computer-interface
    • Schlögl A, Neuper C., and Pfurtscheller G., Estimating the mutual information of an EEG-based Brain-Computer-Interface, Biomedizinische Technik, Vol 47, pp.3-8, 2002.
    • (2002) Biomedizinische Technik , vol.47 , pp. 3-8
    • Schlögl, A.1    Neuper, C.2    Pfurtscheller, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.