meegpype.interfaces.mne.preprocessing.maxwellfilter module🔗

class meegpype.interfaces.mne.preprocessing.maxwellfilter.ApplyMaxwellFilter(from_file=None, resource_monitor=None, ignore_exception=False, **inputs)🔗

Bases: BaseInterface

Mandatory Inputs:
  • destination (a pathlike object or string representing an existing file) – The destination device to head transform.

  • head_positions (a string or os.PathLike object referring to an existing file) – The head positions.

  • raw (a pathlike object or string representing an existing file or a pathlike object or string representing an existing directory) – Input file name.

Optional Inputs:
  • calibration (a string or os.PathLike object referring to an existing file or None) – The calibration file.

  • crosstalk (a string or os.PathLike object referring to an existing file or None) – The cross talk file.

  • emptyroom (a pathlike object or string representing an existing file or a pathlike object or string representing an existing directory or None) – Emptyroom recording.

  • st_duration (a float) – The st_duration.

Outputs:
  • emptyroom_tsss (a pathlike object or string representing an existing file or None) – The emptyroom file after Maxwell filtering.

  • emptyroom_tsss_splits (a list of items which are a string or os.PathLike object referring to an existing file or None)

  • raw_tsss (a pathlike object or string representing an existing file) – The raw file after Maxwell filtering.

  • raw_tsss_splits (a list of items which are a string or os.PathLike object referring to an existing file)