mne.read_epochs_kit#

mne.read_epochs_kit(input_fname, events, event_id=None, mrk=None, elp=None, hsp=None, allow_unknown_format=False, standardize_names=False, verbose=None) → EpochsKIT[source]#

Reader function for Ricoh/KIT epochs files.

Parameters:

input_fnamepath-like: Path to the SQD file.
eventsarray of int, shape (n_events, 3) | path-like: The array of events. The first column contains the event time in samples, with first_samp included. The third column contains the event id. If a path, must yield a .txt file containing the events. If some events don’t match the events of interest as specified by event_id, they will be marked as IGNORED in the drop log.
event_idint | list of int | dict | str | list of str | None: The id of the events to consider. If dict, the keys can later be used to access associated events. Example: dict(auditory=1, visual=3). If int, a dict will be created with the id as string. If a list of int, all events with the IDs specified in the list are used. If a str or list of str, events must be None to use annotations and then the IDs must be the name(s) of the annotations to use. If None, all events will be used and a dict is created with string integer names corresponding to the event id integers.
mrkpath-like | array of shape (5, 3) | list | None: Marker points representing the location of the marker coils with respect to the MEG sensors, or path to a marker file. If list, all of the markers will be averaged together.
elppath-like | array of shape (8, 3) | None: Digitizer points representing the location of the fiducials and the marker coils with respect to the digitized head shape, or path to a file containing these points.
hsppath-like | array of shape (n_points, 3) | None: Digitizer head shape points, or path to head shape file. If more than 10,000 points are in the head shape, they are automatically decimated.
allow_unknown_formatbool: Force reading old data that is not officially supported. Alternatively, read and re-save the data with the KIT MEG Laboratory application.
standardize_namesbool: If True, standardize MEG and EEG channel names to be 'MEG ###' and 'EEG ###'. If False (default), native channel names in the file will be used when possible.
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:

EpochsKITinstance of BaseEpochs: The epochs.