mne.io.read_raw_artemis123#

mne.io.read_raw_artemis123(input_fname, preload=False, verbose=None, pos_fname=None, add_head_trans=True)[source]#

Read Artemis123 data as raw object.

Parameters:
input_fnamepath-like

Path to the data file (extension .bin). The header file with the same file name stem and an extension .txt is expected to be found in the same directory.

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.

pos_fnamepath-like | None

If not None, load digitized head points from this file.

add_head_transbool (default True)

If True attempt to perform initial head localization. Compute initial device to head coordinate transform using HPI coils. If no HPI coils are in info[‘dig’] hpi coils are assumed to be in canonical order of fiducial points (nas, rpa, lpa).

Returns:
rawinstance of Raw

A Raw object containing the data.

See also

mne.io.Raw

Documentation of attributes and methods.

Examples using mne.io.read_raw_artemis123#

Plotting sensor layouts of MEG systems

Plotting sensor layouts of MEG systems