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Volumn 2006, Issue , 2006, Pages 857-864

Classifying EEG for brain-computer interfaces: Learning optimal filters for dynamical system features

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; LEARNING SYSTEMS; SIGNAL FILTERING AND PREDICTION;

EID: 33749262824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (15)
  • 1
    • 2442671691 scopus 로고    scopus 로고
    • Boosting bit rates in non-invasive EEG singletrial classifications by feature combination and multiclass paradigms
    • Dornhege, G., Blankertz, B., Curio, G., & Müller, K. (2004). Boosting bit rates in non-invasive EEG singletrial classifications by feature combination and multiclass paradigms. IEEE Trans. Biomed. Eng., 51, 993-1002.
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , pp. 993-1002
    • Dornhege, G.1    Blankertz, B.2    Curio, G.3    Müller, K.4
  • 3
    • 10244235189 scopus 로고    scopus 로고
    • Phase synchronization for the recognition of mental tasks in a BCI
    • Gysels, E., & Celka, P. (2004). Phase synchronization for the recognition of mental tasks in a BCI. IEEE Trans. Neural Sys. Rehab. Eng., 12, 406-415.
    • (2004) IEEE Trans. Neural Sys. Rehab. Eng. , vol.12 , pp. 406-415
    • Gysels, E.1    Celka, P.2
  • 5
    • 26844572294 scopus 로고    scopus 로고
    • Spatio-spectral filters for improving the classification of single trial EEG
    • Lemm, S., Blankertz, B., Curio, G., & Mülller, K.-R. (2005). Spatio-spectral filters for improving the classification of single trial EEG. IEEE Trans. Biomed. Eng., 52, 1541-1548.
    • (2005) IEEE Trans. Biomed. Eng. , vol.52 , pp. 1541-1548
    • Lemm, S.1    Blankertz, B.2    Curio, G.3    Mülller, K.-R.4
  • 8
    • 0032829330 scopus 로고    scopus 로고
    • Eventrelated EEG/MEG synchronization and desynchronization: Basic principles
    • Pfurtscheller, G., & Lopes da Silva, F. (1999). Eventrelated EEG/MEG synchronization and desynchronization: basic principles. Clin. Neurophys., 110, 1842-1857.
    • (1999) Clin. Neurophys. , vol.110 , pp. 1842-1857
    • Pfurtscheller, G.1    Lopes Da Silva, F.2
  • 10
    • 0034470472 scopus 로고    scopus 로고
    • Optimal spatial filtering of single trial EEG during imagined hand movement
    • Ramoser, H., Müller-Gerking, J., & Pfurtscheller, G. (2000). Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans. Rehab. Eng., 8, 441-446.
    • (2000) IEEE Trans. Rehab. Eng. , vol.8 , pp. 441-446
    • Ramoser, H.1    Müller-Gerking, J.2    Pfurtscheller, G.3
  • 11
    • 33947653187 scopus 로고    scopus 로고
    • Improving separability of EEG signals during motor imagery with an efficient circular Laplacian
    • Song, L., & Epps, J. (2006). Improving separability of EEG signals during motor imagery with an efficient circular Laplacian. ICASSP.
    • (2006) ICASSP
    • Song, L.1    Epps, J.2
  • 13
    • 0032127441 scopus 로고    scopus 로고
    • Spatial filtering and neocortical dynamics: Estimates of EEG coherence
    • Srinivasan, R., Nunez, P. L., & Silberstein, R. B. (1998). Spatial filtering and neocortical dynamics: Estimates of EEG coherence. IEEE Trans. on Biomed. Eng., 45, 814-826.
    • (1998) IEEE Trans. on Biomed. Eng. , vol.45 , pp. 814-826
    • Srinivasan, R.1    Nunez, P.L.2    Silberstein, R.B.3
  • 14
    • 84864042369 scopus 로고    scopus 로고
    • BCI competition III - Data set IVa: Classifying singletrial EEG during motor imagery with a small training set
    • submitted
    • Wang, Y., Gao, X., Zhang, Z., Hong, B., & Gao, S. (2005). BCI competition III - data set IVa: classifying singletrial EEG during motor imagery with a small training set. IEEE Trans. Neural Sys. Rehab. Eng. (submitted).
    • (2005) IEEE Trans. Neural Sys. Rehab. Eng.
    • Wang, Y.1    Gao, X.2    Zhang, Z.3    Hong, B.4    Gao, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.