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This repository was archived by the owner on Aug 7, 2024. It is now read-only.
Solution: do local rejects + interpolation for epoch repair
https://autoreject.github.io/stable/auto_examples/plot_auto_repair.html
https://autoreject.github.io/stable/_modules/autoreject/autoreject.html#AutoReject.fit
Why are we dropping fixed number of epochs (autoreject does this automatically)?
20% dropped is ok, but 767 epochs every signal dataset is sussy. Global rejection was not ideal.
We are selecting epochs to remove with just a simple check that amplitude > 700. There are better ways to do this, namely autoreject:
https://autoreject.github.io/stable/index.html
https://github.com/facebookresearch/brainmagick/blob/main/bm%2Fautoreject.py
https://github.com/meeg-ml-benchmarks/brain-age-benchmark-paper/blob/main/compute_autoreject.py