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_fnamepath-like
Path to the EEG header file.
- eog
list
ortuple
ofstr
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')
.- misc
list
ortuple
ofstr
|'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'
.- scale
float
The scaling factor for EEG data. Unless specified otherwise by header file, units are in microvolts. Default scale factor is 1.
- 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.
- Returns:
- rawinstance of RawBrainVision
A Raw object containing BrainVision data. See
mne.io.Raw
for documentation of attributes and methods.
See also
mne.io.Raw
Documentation of attributes and methods of RawBrainVision.
Examples using mne.io.read_raw_brainvision
#
Importing data from EEG devices
Frequency-tagging: Basic analysis of an SSVEP/vSSR dataset