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Volumn 26 I, Issue , 2004, Pages 87-90

Comparison between ICA and wavelet-based denoising of single-trial evoked potentials

Author keywords

Denoising; EEG; Evoked Potentials; Independent Component Analysis; Wavelets

Indexed keywords

BLIND SOURCE SEPARATION; BRAIN; MATHEMATICAL MODELS; MUSCLE; SIGNAL TO NOISE RATIO; WAVEFORM ANALYSIS;

EID: 11044237964     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (18)
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  • 4
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  • 5
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  • 6
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    • Effern, A., Lehnertz, K., Grunwald, T., Fernandez, G., David and Elger, C. E., "Time adaptive denoising of single trial even-related potentials in the wavelet domain", Psychophysiology, 37: 859-865, 2000.
    • (2000) Psychophysiology , vol.37 , pp. 859-865
    • Effern, A.1    Lehnertz, K.2    Grunwald, T.3    Fernandez, G.4    David5    Elger, C.E.6
  • 9
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    • Blind separation of sources I. An adaptive algorithm based on neuromimetic architecture
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    • Jutten, C.1    Herault, J.2
  • 14
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    • Single-trial event-related potentials with wavelet denoising
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    • Quiroga, R.Q.1    Garcia, H.2
  • 15
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    • Extraction of ocular artifacts from EEG using independent component analysis
    • Vigario, R. N., "Extraction of ocular artifacts from EEG using independent component analysis", Electroenceph Clin Neurophysiol, 103:395-404, 1997.
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  • 16
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    • Independence: A new criterion for the analysis of the electromagnetic fields in the global brain?
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    • Vigario, R.1    Oja, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.