Reader function for Ricoh/KIT epochs files.
str
Path to the sqd file.
array
of int
, shape (n_events, 3)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 some events don’t match the events of interest as specified by event_id,
they will be marked as IGNORED
in the drop log.
int
| list
of int
| dict
| 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, all events with the IDs specified in the list are used. If None, all events will be used and a dict is created with string integer names corresponding to the event id integers.
None
| str
| array_like, shape (5, 3) | list
of str
or array_likeMarker 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.
None
| str
| array_like, shape (8, 3)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.
None
| str
| array
, shape (n_points, 3)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.
Force reading old data that is not officially supported. Alternatively, read and re-save the data with the KIT MEG Laboratory application.
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.
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.
Epochs
The epochs.
Notes
New in version 0.9.0.
mne.read_epochs_kit
#Importing data from MEG devices
The Epochs data structure: discontinuous data