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_fname
str
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.
- vhdr_fname
- 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
Frequency-tagging: Basic analysis of an SSVEP/vSSR dataset