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 | str

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, it is the name of a freshly created memory-mapped file used to store the data on the hard drive (slower, requires less memory). An existing file is overwritten. The caller owns the file and is responsible for removing it after the Raw object is no longer in use. For supported Raw readers, the exact string "auto" instead reuses decoded data below the directory configured by mne.set_cache_dir(). Entries persist without a size limit and are mapped copy-on-write. Use Path("auto") for a literal filename.

Changed in version 1.13: Support for the "auto" decoded-data cache was added.

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

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 RawArtemis123

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