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%matplotlib inline

Interpolate bad channels for MEG/EEG channels

This example shows how to interpolate bad MEG/EEG channels

Using spherical splines from :footcite:PerrinEtAl1989 for EEG data.
Using field interpolation for MEG and EEG data.

In this example, the bad channels will still be marked as bad. Only the data in those channels is replaced.



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# Authors: Denis A. Engemann <denis.engemann@gmail.com>
#          Mainak Jas <mainak.jas@telecom-paristech.fr>
#
# License: BSD (3-clause)


import mne
from mne.datasets import sample

print(__doc__)

data_path = sample.data_path()

fname = data_path + '/MEG/sample/sample_audvis-ave.fif'
evoked = mne.read_evokeds(fname, condition='Left Auditory',
                          baseline=(None, 0))

# plot with bads
evoked.plot(exclude=[], picks=('grad', 'eeg'))

Compute interpolation (also works with Raw and Epochs objects)



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evoked_interp = evoked.copy().interpolate_bads(reset_bads=False)
evoked_interp.plot(exclude=[], picks=('grad', 'eeg'))

You can also use minimum-norm for EEG as well as MEG



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evoked_interp_mne = evoked.copy().interpolate_bads(
    reset_bads=False, method=dict(eeg='MNE'), verbose=True)
evoked_interp_mne.plot(exclude=[], picks=('grad', 'eeg'))

References

.. footbibliography::