EEG artifact removal method

[kyuwanchoi (Q)]

Dear MNE users, I used ASR (automated subspace removal) in EEGlab to remove artifacts in EEG signals. It worked very well in removing artifacts even in real-time applications.

I would like to know a powerful artifact rejection method like ASR in mne. Can you recommend me any powerful artifact method in mne?

Kyu

[sappelhoff (Stefan Appelhoff)]

You can have a look at

• autoreject: GitHub - autoreject/autoreject: Automated rejection and repair of bad trials/sensors in M/EEG
• pyprep: GitHub - sappelhoff/pyprep: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data
• mne-faster: GitHub - wmvanvliet/mne-faster: Automatic EEG bad channel/epoch/ICA-component detection using FASTER

[kyuwanchoi (Q)]

Hi Sappelhoff,

I really appreciate your support. I think those tool you recommended are very helpful. In my case, I usually work on real-time BCI application. Which tool is the best for real-time artifact rejection among them?

Best,
Kyu

[sappelhoff (Stefan Appelhoff)]

I see but sorry, for that I have no guidance right now.