mne.io.read_raw_gdf#

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

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 | 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.
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 | 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

rawinstance of RawGDF: The raw instance.

Examples using `mne.io.read_raw_gdf`#

Importing data from EEG devices

mne.io.read_raw_bdf

mne.io.read_raw_kit

mne.io.read_raw_gdf#

Examples using mne.io.read_raw_gdf#

Examples using `mne.io.read_raw_gdf`#