mne.io.read_raw_brainvision#

mne.io.read_raw_brainvision(vhdr_fname, eog=('HEOGL', 'HEOGR', 'VEOGb'), misc='auto', scale=1.0, preload=False, verbose=None)[source]#

Reader for Brain Vision EEG file.

Parameters
vhdr_fnamestr

Path to the EEG header file.

eoglist or tuple of str

Names of channels or list of indices that should be designated EOG channels. Values should correspond to the header file Default is ('HEOGL', 'HEOGR', 'VEOGb').

misclist or tuple of str | ‘auto’

Names of channels or list of indices that should be designated MISC channels. Values should correspond to the electrodes in the header file. If ‘auto’, units in header file are used for inferring misc channels. Default is 'auto'.

scalefloat

The scaling factor for EEG data. Unless specified otherwise by header file, units are in microvolts. Default scale factor is 1.

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 RawBrainVision

A Raw object containing BrainVision data.

See also

mne.io.Raw

Documentation of attribute and methods.

Examples using mne.io.read_raw_brainvision#

Importing data from EEG devices

Importing data from EEG devices

Importing data from EEG devices
Frequency-tagging: Basic analysis of an SSVEP/vSSR dataset

Frequency-tagging: Basic analysis of an SSVEP/vSSR dataset

Frequency-tagging: Basic analysis of an SSVEP/vSSR dataset