single channel visual inspection - automated process

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Hello, I am interested in using ASR (Artifact Subspace Reconstruction) from eeglab, and I want to know if there is something similar in MNEpython for single channel visual inspection and cleaning. I have EMG data, and according to my pipeline, I have to visually inspect each of the channels (16 different muscles + sides) and I want to do it more automatically in Python instead of using eeglab and applying ASR. Is there a way to do it in MNE?!
Thank you for any suggestions!

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I recommend that you have a look at these two sections in the documentation (tutorials and examples on preprocessing):

And in particular the tutorial on repairing artifacts using ICA. To the best of my knowledge, ASR as in EEGLAB is not implemented in MNE-Python.

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