You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
PREP pipeline, which automatically and reproducibly a) removes line noise without applying a notch filter, using a sliding-window algorithm, b) performs robust average re-referencing on the data using a RANSAC-based algorithm to detect and ignore noisy/otherwise "bad" channels while calculating an average reference, and c) optionally reinterpolates channels still flagged as "bad" after referencing using data from the non-bad electrodes and a 3D spatial model of the good electrode locations. There's a WIP Python-based version by one of the MNE mantainers here
PREP pipeline, which automatically and reproducibly a) removes line noise without applying a notch filter, using a sliding-window algorithm, b) performs robust average re-referencing on the data using a RANSAC-based algorithm to detect and ignore noisy/otherwise "bad" channels while calculating an average reference, and c) optionally reinterpolates channels still flagged as "bad" after referencing using data from the non-bad electrodes and a 3D spatial model of the good electrode locations. There's a WIP Python-based version by one of the MNE mantainers here
Originally posted by @a-hurst in #144 (comment)
The text was updated successfully, but these errors were encountered: