Reader function for GDF files.
str
Path to the GDF file.
list
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.
list
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.
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.
list
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.
list
of str
| str
Channel names to be included. A str is interpreted as a regular expression. ‘exclude’ must be empty if include is assigned.
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).
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.
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.
mne.io.read_raw_gdf
#Importing data from EEG devices