mne.io.read_raw_gdf

mne.io.read_raw_gdf(input_fname, eog=None, misc=None, stim_channel='auto', exclude=(), preload=False, verbose=None)

Reader function for GDF files.

Parameters

input_fnamestr

Path to the GDF file.

eoglist or tuple

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.

misclist or tuple

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 of str | int | list of int

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.

excludelist of str

Channel names to exclude. This can help when reading data with different sampling rates to avoid unnecessary resampling.

preloadbool or str (default False)

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).

verbosebool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

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