mne.io.read_raw_gdf#
- mne.io.read_raw_gdf(input_fname, eog=None, misc=None, stim_channel='auto', exclude=(), include=None, preload=False, verbose=None)[source]#
Reader function for GDF files.
- Parameters:
- input_fname
str
Path to the GDF file.
- eog
list
ortuple
Names of channels or list of indices that should be designated EOG channels. Values should correspond to the electrodes in the file. Default is None.
- misc
list
ortuple
Names of channels or list of indices that should be designated MISC channels. Values should correspond to the electrodes in the file. Default is None.
- stim_channel‘auto’ |
str
|list
ofstr
|int
|list
ofint
Defaults to ‘auto’, which means that channels named ‘status’ or ‘trigger’ (case insensitive) are set to STIM. If str (or list of str), all channels matching the name(s) are set to STIM. If int (or list of ints), channels corresponding to the indices are set to STIM.
- exclude
list
ofstr
|str
Channel names to exclude. This can help when reading data with different sampling rates to avoid unnecessary resampling. A str is interpreted as a regular expression.
- include
list
ofstr
|str
Channel names to be included. A str is interpreted as a regular expression. ‘exclude’ must be empty if include is assigned.
- preload
bool
orstr
(defaultFalse
) Preload data into memory for data manipulation and faster indexing. If True, the data will be preloaded into memory (fast, requires large amount of memory). If preload is a string, preload is the file name of a memory-mapped file which is used to store the data on the hard drive (slower, requires less memory).
- verbose
bool
|str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- input_fname
- Returns:
- rawinstance of RawGDF
The raw instance.
See also
mne.io.read_raw_edf
Reader function for EDF and EDF+ files.
mne.io.read_raw_bdf
Reader function for BDF files.
Notes
If channels named ‘status’ or ‘trigger’ are present, they are considered as STIM channels by default. Use func:
mne.find_events
to parse events encoded in such analog stim channels.
Examples using mne.io.read_raw_gdf
#
Importing data from EEG devices