braindecode.preprocessing.SetChannelTypes#

class braindecode.preprocessing.SetChannelTypes(mapping, *, on_unit_change='warn', verbose=None)[source]#

Braindecode preprocessor wrapper for set_channel_types().

Specify the sensor types of channels.

Parameters:

mappingdict: A dictionary mapping channel names to sensor types, e.g., {'EEG061': 'eog'}.
on_unit_change'raise' | 'warn' | 'ignore': What to do if the measurement unit of a channel is changed automatically to match the new sensor type.

Added in version 1.4.
verbosebool | str | int | None: Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:

instinstance of Raw | Epochs | Evoked: The instance (modified in place).

Changed in version 0.20: Return the instance.

Notes

The following sensor types are accepted:

bio, chpi, csd, dbs, dipole, ecg, ecog, eeg, emg, eog, exci, eyegaze, fnirs_cw_amplitude, fnirs_fd_ac_amplitude, fnirs_fd_phase, fnirs_od, gof, gsr, hbo, hbr, ias, misc, pupil, ref_meg, resp, seeg, stim, syst, temperature.

When working with eye-tracking data, see mne.preprocessing.eyetracking.set_channel_types_eyetrack().

Added in version 0.9.0.