No need for extensive artifact rejection for ICA - A multi-study evaluation on stationary and mobile EEG datasets
Marius Klug, T. Berg, Klaus Gramann
The paper evaluates the impact of movement intensity and automatic sample rejection on ICA decomposition quality across multiple EEG datasets, finding that moderate cleaning improves decomposition regardless of movement intensity.
bioRxiv · Sep 13, 2022 · PreprintNeuroscience