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

Tarik S Bel-Bahar tarikbelbahar at gmail.com
Sun May 17 13:49:00 PDT 2015

Thank you for this awesome tool Laura!
Please allow me to say that I've used Laura's very cool method with ease
within eeglab, using recent versions of eeglab.
The results are useful and nuanced, and I look forward to comparisons or
integrations with Chaumon et al's recent ICA toolbox,
or some version of ICA reliability testing such as GIFT from Calhoun or
RELICA from Artoni.

On Thu, May 14, 2015 at 5:05 AM, Laura Frolich <laura.frolich at gmail.com>

> 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
> http://www2.compute.dtu.dk/~lffr/publications/indexpub.php.
> 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
> http://onlinelibrary.wiley.com/doi/10.1111/psyp.12290/abstract.
> I hope this plug-in will be useful. Please contact me if you experience
> any problems using IC_MARC.
> Sincerely,
> Laura Frølich
> PhD Student
> Section for Cognitive Systems
> Technical University of Denmark
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