[Eeglablist] ADJUST: automatic algorithm for EEG artifact removal

[Marco Buiatti]

Dear EEGLAB users,

I would like to present you ADJUST, an ICA-based completely automatic
algorithm for efficient removal of the most common physiological
artifacts in EEG data.

ADJUST identifies artifacted Independent Components (IC) of EEG data
by combining stereotyped artifact-specific spatial and temporal
features. Features are optimised to capture blinks, eye movements and
generic discontinuities. Once artifacted IC are identified, they can
be simply removed from the data while leaving the activity due to
neural sources almost unaffected.

The algorithm is described in detailed and validated on real data in
this recent publication:
Mognon, Jovicich, Bruzzone, Buiatti, "ADJUST: An automatic EEG
artifact detector based on the joint use of spatial and temporal
features", Psychophysiology, in press.

ADJUST has been implemented as a fully functional EEGLAB plugin, and
is downloadable here (together with the associated paper, a tutorial
and a sample dataset):

http://www.unicog.org/pm/pmwiki.php/MEG/RemovingArtifactsWithADJUST

This page is also linked in the EEGLAB plugin page:
http://sccn.ucsd.edu/wiki/EEGLAB_Plugins

Feel free to contact adjust.staff at gmail.com should you have any
questions on the algorithm and on its application on your data.

Best,

Marco


--
Marco Buiatti, PhD

CEA/DSV/I2BM / NeuroSpin
INSERM U992 - Cognitive Neuroimaging Unit
Bât 145 - Point Courrier 156
Gif sur Yvette F-91191  FRANCE
Ph:  +33(0)169.08.65.21
Fax: +33(0)169.08.79.73
E-mail: marco.buiatti at gmail.com
http://www.unicog.org/pm/pmwiki.php/Main/MarcoBuiatti

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