ERPLAB Studio Panels: Artifact Rejection in Continuous EEG - ucdavis/erplab GitHub Wiki

Time segments of EEG that contain artifacts can be deleted from continuous EEGsets using the Reject Artifactual Time Segments panel. The manual page for that panel describes how it operates. Here, we provide essential background information.

This routine actually deletes the periods of EEG containing the artifacts. This is a "sledgehammer" approach, and we do not recommend using it to eliminate ordinary artifacts, such as blinks and eye movements. It is less precise than the artifact detection routines described in the next section, and it makes it difficult to quantify the number of trials rejected. The main purpose of this routine is to delete "crazy" sections of the continuous EEG prior to performing ICA.

The segments to be deleted can be selected manually (by visual inspection) or by means of an automatied algorithm

Note that deleting a segment of EEG also deletes the event codes within that section. Consequently, if you are going to delete sections of EEG, you must do so before the EventList has been created (or re-create the EventList after the deletion).

When a period of EEG has been deleted, a boundary code is inserted to indicate a discontinuity in the data.