Plotting sensor layouts of MEG systems#

Show sensor layouts of different MEG systems.

# Author: Eric Larson <larson.eric.d@gmail.com>
#
# License: BSD-3-Clause
# Copyright the MNE-Python contributors.
from pathlib import Path

import mne
from mne.datasets import sample, spm_face, testing
from mne.io import (
    read_raw_artemis123,
    read_raw_bti,
    read_raw_ctf,
    read_raw_fif,
    read_raw_kit,
)
from mne.viz import plot_alignment, set_3d_title

print(__doc__)

root_path = Path(mne.__file__).parent.absolute()

Neuromag#

kwargs = dict(eeg=False, coord_frame="meg", show_axes=True, verbose=True)

raw = read_raw_fif(sample.data_path() / "MEG" / "sample" / "sample_audvis_raw.fif")
fig = plot_alignment(raw.info, meg=("helmet", "sensors"), **kwargs)
set_3d_title(figure=fig, title="Neuromag")

CTF#

raw = read_raw_ctf(
    spm_face.data_path() / "MEG" / "spm" / "SPM_CTF_MEG_example_faces1_3D.ds"
)
fig = plot_alignment(raw.info, meg=("helmet", "sensors", "ref"), **kwargs)
set_3d_title(figure=fig, title="CTF 275")

BTi#

bti_path = root_path / "io" / "bti" / "tests" / "data"
raw = read_raw_bti(
    bti_path / "test_pdf_linux",
    bti_path / "test_config_linux",
    bti_path / "test_hs_linux",
)
fig = plot_alignment(raw.info, meg=("helmet", "sensors", "ref"), **kwargs)
set_3d_title(figure=fig, title="Magnes 3600wh")

KIT#

kit_path = root_path / "io" / "kit" / "tests" / "data"
raw = read_raw_kit(kit_path / "test.sqd")
fig = plot_alignment(raw.info, meg=("helmet", "sensors"), **kwargs)
set_3d_title(figure=fig, title="KIT")

Artemis123#

raw = read_raw_artemis123(
    testing.data_path()
    / "ARTEMIS123"
    / "Artemis_Data_2017-04-14-10h-38m-59s_Phantom_1k_HPI_1s.bin"
)
fig = plot_alignment(raw.info, meg=("helmet", "sensors", "ref"), **kwargs)
set_3d_title(figure=fig, title="Artemis123")

Estimated memory usage: 0 MB

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