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Content Provider | IEEE Xplore Digital Library |
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Author | Zouridakis, G. Iyer, D. |
Copyright Year | 2004 |
Description | Author affiliation: Dept. of Comput. Sci., Houston Univ., TX, USA (Zouridakis, G.; Iyer, D.) |
Abstract | 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. |
Starting Page | 87 |
Ending Page | 90 |
File Size | 727818 |
Page Count | 4 |
File Format | |
ISBN | 0780384393 |
DOI | 10.1109/IEMBS.2004.1403097 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-09-01 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Independent component analysis Noise reduction Electroencephalography Blind source separation Iterative methods Wavelet analysis Brain modeling Scalp Computer science Analytical models Denoising Independent Component Analysis Wavelets EEG Evoked Potentials |
Content Type | Text |
Resource Type | Article |
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