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Volumn , Issue , 2011, Pages 84-87

Time-frequency optimized spatial patterns for movement-related EEG decoding

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; COMMON SPATIAL PATTERNS; FREQUENCY GRIDS; SPATIAL PATTERNS; TIME FREQUENCY;

EID: 79960372434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2011.5910494     Document Type: Conference Paper
Times cited : (3)

References (9)
  • 1
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    • Wolpaw, J. R., et al., Brain-Computer Interface Technology: A Review of the First International Meeting, IEEE Transactions on Rehabilitation Engineering, 2000(8), 164-173.
    • (2000) IEEE Transactions on Rehabilitation Engineering , Issue.8 , pp. 164-173
    • Wolpaw, J.R.1
  • 2
    • 85032751688 scopus 로고    scopus 로고
    • Optimizing spatial filters for robust EEG single-trial analysis
    • Blankertz, B., et al., Optimizing Spatial Filters for Robust EEG Single-Trial Analysis, IEEE Signal Processing Magazine, 2008(25), 41-56.
    • (2008) IEEE Signal Processing Magazine , Issue.25 , pp. 41-56
    • Blankertz, B.1
  • 3
    • 33644680231 scopus 로고    scopus 로고
    • Machine learning techniques for brain-computer interfaces
    • Müller, K. R., et al., Machine learning techniques for brain-computer interfaces, Biomed. Technol., 2004(49), 11-22.
    • (2004) Biomed. Technol. , Issue.49 , pp. 11-22
    • Müller, K.R.1
  • 4
    • 17044366995 scopus 로고    scopus 로고
    • Asymmetric spatiotemporal patterns of event-related desynchronization preceding voluntary sequential finger movements: A high-resolution EEG study
    • Bai, O., et al., Asymmetric spatiotemporal patterns of event-related desynchronization preceding voluntary sequential finger movements: a high-resolution EEG study, Clinical Neurophysiology, 2005(116), 1213-1221.
    • (2005) Clinical Neurophysiology , Issue.116 , pp. 1213-1221
    • Bai, O.1
  • 6
    • 33747627391 scopus 로고    scopus 로고
    • Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings
    • Ince, N. F., et al., Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings, Journal of neural engineering, 2006(3), 235-44.
    • (2006) Journal of Neural Engineering , Issue.3 , pp. 235-244
    • Ince, N.F.1
  • 7
    • 0344849430 scopus 로고    scopus 로고
    • Designing optimal spatial filters for single-trial EEG classification in a movement task
    • Müller-Gerking, J., et al., Designing optimal spatial filters for single-trial EEG classification in a movement task, Clinical Neurophysiology, 1999 (110)
    • (1999) Clinical Neurophysiology , Issue.110
    • Müller-Gerking, J.1
  • 8
    • 8844271035 scopus 로고    scopus 로고
    • Classifying EEG-based motor imagery tasks by means of time-frequency synthesized spatial patterns
    • Wang, T., et al., Classifying EEG-based motor imagery tasks by means of time-frequency synthesized spatial patterns, Clinical Neurophysiology, 2004(115), 2744-2753.
    • (2004) Clinical Neurophysiology , Issue.115 , pp. 2744-2753
    • Wang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.