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

Analysis of evoked potentials (EPs) on a single-trial basis allows the study of the dynamical characteristics of brain activity. However, single-trial responses are buried into the more prominent ongoing electroencephalographic (EEG) activity, and thus advanced procedures are needed to obtain the ac...

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Bibliographic Details
Published inConference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Vol. 1; pp. 87 - 90
Main Authors Zouridakis, G., Iyer, D.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 2004
Subjects
Analytical models
Blind source separation
Brain modeling
Computer science
Denoising
EEG
Electroencephalography
Evoked Potentials
Independent component analysis
Iterative methods
Noise reduction
Scalp
Wavelet analysis
Wavelets
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ISBN9780780384392
0780384393
ISSN1557-170X
DOI10.1109/IEMBS.2004.1403097

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Summary:Analysis of evoked potentials (EPs) on a single-trial basis allows the study of the dynamical characteristics of brain activity. However, single-trial responses are buried into the more prominent ongoing electroencephalographic (EEG) activity, and thus advanced procedures are needed to obtain the activity only of the cortical generators that are activated by the experimental task under study. We compare the effectiveness of two methods at removing extraneous activity from single-trial EPs, namely, a recently-proposed iterative procedure based on independent component analysis (ICA) and wavelet denoising, using simulated data and actual EP recordings from normal subjects, more specifically the auditory N100-P200 complex.
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ISBN:9780780384392
0780384393
ISSN:1557-170X
DOI:10.1109/IEMBS.2004.1403097