One feature I really enjoy about MNE is the possibility to annotate interactively bad data segments on the plot interface. I’m usually not specifying the source of the noise, and I use a generic BAD label when I see a very noisy segment.
However, for large volumes of data, manual annotation becomes cumbersome. Is there an MNE method, or a library in the MNE ecosystem that automatically annotates bad segments of data?
I’m looking for an equivalent to pyprep which is for bad (noisy) channels detection.
One day… one day…
Aside from advanced ML models, is there some pipeline, algorithm which do this with simple techniques?
Basically, as long as I don’t have to code it from scratch, it’s worth integrating into my pipeline.