메뉴 건너뛰기




Volumn 2005, Issue , 2005, Pages 91-95

Independent component analysis for meaningful peaks detection in EEG signals

Author keywords

Artifact removal; EEG; EEG mapping; ICA; PCA

Indexed keywords

ALGORITHMS; BIOELECTRIC PHENOMENA; BRAIN; INFORMATION RETRIEVAL; MEDICAL PROBLEMS; PATHOLOGY; STATISTICAL METHODS; WAVEFORM ANALYSIS;

EID: 33749044838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2005.1522834     Document Type: Conference Paper
Times cited : (1)

References (6)
  • 3
    • 1242283941 scopus 로고    scopus 로고
    • EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
    • A. Delorme, S. Makeig, "EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.", Journal of Neuroscience Methods.
    • Journal of Neuroscience Methods
    • Delorme, A.1    Makeig, S.2
  • 5
    • 0029411030 scopus 로고
    • An information-maximisation approach to blind separation and blind deconvolution
    • A. J. Bell and T. J. Sejnowski, "An information-maximisation approach to blind separation and blind deconvolution", Neural Computation, Volume: 7, pp. 1129-1159, 1995.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 6
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources
    • Lee, T-W, Girolami, M. and Sejnowski, T. "Independent Component Analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources". Neural Computation, 11(2), pp. 606-633, 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 606-633
    • Lee, T.-W.1    Girolami, M.2    Sejnowski, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.