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Thanks for contributing a pull request! Please make sure you have read the
contribution guidelines
before submitting.

Please be aware that we are a loose team of volunteers so patience is
necessary. Assistance handling other issues is very welcome. We value
all user contributions, no matter how minor they are. If we are slow to
review, either the pull request needs some benchmarking, tinkering,
convincing, etc. or more likely the reviewers are simply busy. In either
case, we ask for your understanding during the review process.

Again, thanks for contributing!

Reference issue

NA

What does this implement/fix?

This PR contains a new feature for bad channel detection using Local Outlier Factor (LOF) algorithm.
File name: mne/preprocessing/detect_bad_channels.py

Additional information

The proposed algorithm is used in Newborns EEG Artifact Removal (NEAR) pipeline published earlier this year. Recently, we analyzed data from adult subjects and the algorithm is adaptable to different populations. This contribution is a first step towards a fully-automated preprocessing pipeline based on MNE-Python. Your feedback is greatly appreciated.

Best regards,
Velu

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