ERPWAVELAB A toolbox for multi-channel analysis of time-frequency transformed event related potentials

Morten Mørup, Lars K. Hansen, Sidse M. Arnfred

AbstractThe toolbox 'ERPWAVELAB' is developed for multi-channel
time-frequency analysis of event related activity of EEG and MEG
data. The toolbox provides tools for data analysis and
visualization of the most commonly used measures of time-frequency
transformed event related data as well as data decomposition
through non-negative matrix and multi-way (tensor) factorization.
The decompositions provided can accommodate additional dimensions
like subjects, conditions or repeats and as such they are
perfected for group analysis. Furthermore, the toolbox enables
tracking of phase locked activity from one channel-time-frequency
instance to another as well as tools for artifact rejection in the
time-frequency domain. Several other features are high-lighted.
ERPWAVELAB can freely be downloaded from
www.erpwavelab.org, requires EEGLAB and runs
under MATLAB (The Mathworks, Inc.)
KeywordsEEG, MEG, multi-channel time-frequency analysis toolbox, wavelet analysis, Non-negative Decomposition, Event related potentials, PARAFAC/TUCKER, Coherence, artifact rejection in time-frequency domain.
TypeJournal paper [With referee]
JournalJournal of Neuroscience Methods
Year2007    Vol. 161    pp. 361-368
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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