The repository for this plugin is located at here.
If this plugin does not work for you, see also this other independent implementation.
If you want to fix bugs, please issue a pull request.
The plugin features automated artifact rejection as outlined in this paper. The best method for rejecting EEG channels is based on detecting abnormal spectrum, and the best method for rejecting continuous data segments is the Artifact Subspace Reconstruction; these automated methods, validated against human raters, showed no significant difference from and potentially outperformed human raters. The GUI is shown below. To use automated artifact rejection, check the checkbox for filtering the data and for rejecting bad portions using ASR.
version 4.0
- Allow cleaning the data when it is being imported
version 3.2
- Better automatic calculation of sampling rate
version 3.1
- Remove typo in code that made it crash
version 3
- Now allows to set the sampling rate or detect it automatically
version 2
- Now allows to import more than EEG channels