mdelpozobanos / eegadjust Goto Github PK

ADJUST is an automatic EEG artifact rejection method based on spatial and temporal features, published by A. Mognon et. al. in 2010 [Mognon2010].

The method relies on the dissociation of neural and artifactual activity through a Blind Source Separation (BSS) algorithm, and the classification of each extracted component into blinks, vertical eye movements, horizontal eye movements, generic discontinuities or clean. Components identified as noisy are then removed from the reconstruction of the EEG.

To install this package, you can use the make file. From the root directory of the package, run:

make install

To test the package against your installed python version, from the root directory of the package you can run:

make test

Please, file an issue if you encounter any problem with the package or if you have any suggestions.

Let people know how they can dive into the project, include important links to things like issue trackers, irc, twitter accounts if applicable.

The eegadjust framework is open-sourced software licensed under the MIT license.