[Eeglablist] Method for multi-class classification of independent components of EEG

Laura Frolich laura.frolich at gmail.com
Thu May 14 02:05:12 PDT 2015

Dear EEGLablist members,

I would like to introduce a classification method, IC_MARC, that
distinguishes between independent components of EEG of the following types:
neural components, blinks, lateral eye movements, heart beat artefacts,
muscle artefacts, and mixed/noisy components. The classification method is
included in an EEGLab plugin available at

The method works with EEGLab versions up to and including From
then on a problem with a FieldTrip function used by a DIPFIT function that
IC_MARC relies on started occurring.

The method is described in the article “Classification of independent
components of EEG into multiple artifact classes”, available at

I hope this plug-in will be useful. Please contact me if you experience any
problems using IC_MARC.


Laura Frølich
PhD Student
Section for Cognitive Systems
Technical University of Denmark
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20150514/1d533d3d/attachment.html>

More information about the eeglablist mailing list