mne.preprocessing.
oversampled_temporal_projection
(raw, duration=10.0, picks=None, verbose=None)[source]¶Denoise MEG channels using leave-one-out temporal projection.
Parameters: |
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Returns: |
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Notes
This algorithm is computationally expensive, and can be several times slower than realtime for conventional M/EEG datasets. It uses a leave-one-out procedure with parallel temporal projection to remove individual sensor noise under the assumption that sampled fields (e.g., MEG and EEG) are oversampled by the sensor array [1].
OTP can improve sensor noise levels (especially under visual
inspection) and repair some bad channels. This noise reduction is known
to interact with tSSS
such
that increasing the st_correlation
value will likely be necessary.
Channels marked as bad will not be used to reconstruct good channels, but good channels will be used to process the bad channels. Depending on the type of noise present in the bad channels, this might make them usable again.
Use of this algorithm is covered by a provisional patent.
New in version 0.16.
References
[1] | (1, 2) Larson E, Taulu S (2017). Reducing Sensor Noise in MEG and EEG Recordings Using Oversampled Temporal Projection. IEEE Transactions on Biomedical Engineering. |
mne.preprocessing.oversampled_temporal_projection
¶