ENH: Add movement compensation and related functions

[larsoner]

Potential plan (feel free to comment @agramfort @hoechenberger @drammock):

• BIDS-ify dataset from https://github.com/ilabsbrainteam/2022-Best-Practices-Infant-MEG
• Verify locally that it processes with a suitable config (without movecomp, without source space analysis)
• Upload to OpenNeuro: https://openneuro.org/datasets/ds004229/versions/1.0.0
• Add test where this dataset is processed using the existing pipeline without movement compensation: MAINT: Add infant dataset #582
• Add head position estimation + cHPI filtering + movement compensation: ENH: Add movement compensation #747
• Add mf_destination to set the destination param: ENH: Add movement compensation #747
• Add movement and cHPI SNR plots to reports: ENH: Add movement compensation #747
• Refactor _get_raw_paths to not append the noise and rest runs: MAINT: Refactor _get_raw_paths #749
• Add annotation of bad segments based on movements: ENH: Add annotation of head velocity #757
• Add eSSS option: ENH: Add eSSS #762
• Add time-weighted-average-destination per-subject (ENH: Multiple raw instance support to head pos average mne-python#12445)
• Add mf_bads option (ENH: Add mf_bads option #760)

This would more or less cover the pediatric portion of the EOSS4 grant I think.

[larsoner]

For the first step I think I got the dataset converted, but the validator complained:

	1: [WARN] The Authors field of dataset_description.json should contain an array of fields - with one author per field. This was triggered based on the presence of only one author field. Please ignore if all contributors are already properly listed. (code: 102 - TOO_FEW_AUTHORS)

... which was good, because I had created a dataset with no authors (whoops!).

This prompted mne-tools/mne-bids#1024. Once that's sorted I'll continue!