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13 MEG/EEG Data Analysis Using EEGLAB
BibTeX
@MISC{Aine_13meg/eeg,
author = {Cheryl J. Aine and Springer Verlag and John R. Iversen and Scott Makeig},
title = {13 MEG/EEG Data Analysis Using EEGLAB},
year = {}
}
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Abstract
EEGLAB (sccn.ucsc.edu/eeglab) is an easily extensible, highly evolved, and now widely used open source environment for signal processing of electroencephalo-graphic data running on MATLAB (The Mathworks, Inc.). Here we introduce MEEG, an EEGLAB plug-in that appears in the EEGLAB menu of users who download it. MEEG gathers functions from EEGLAB and other MATLAB-based open source frameworks to read/write and process MEG or simultaneous MEG/EEG (MEEG) data. Here we show a first decomposition by independent component analysis (ICA) of an MEEG data set and use MEEG plotting tools to localize and evaluate maximally independent joint MEG/EEG component pro-cesses in the data.
Keyphrases
electroencephalo-graphic data meeg gather function independent joint meg eeg first decomposition use meeg plotting tool eeglab plug-in process meg eeglab menu meeg data set signal processing open source environment simultaneous meg eeg matlab-based open source framework independent component analysis
