mne.preprocessing.nirs.temporal_derivative_distribution_repair¶
-
mne.preprocessing.nirs.temporal_derivative_distribution_repair(raw)[source]¶ Apply temporal derivative distribution repair to data.
Applies temporal derivative distribution repair (TDDR) to data 1. This approach removes baseline shift and spike artifacts without the need for any user-supplied parameters.
- Parameters
- rawinstance of
Raw The raw data.
- %(verbose)s
- rawinstance of
- Returns
- rawinstance of
Raw Data with TDDR applied.
- rawinstance of
Notes
There is a shorter alias
mne.preprocessing.nirs.tddrthat can be used instead of this function (e.g. if line length is an issue).References
- 1
Frank A Fishburn, Ruth S Ludlum, Chandan J Vaidya, and Andrei V Medvedev. Temporal derivative distribution repair (tddr): a motion correction method for fnirs. NeuroImage, 184:171–179, 2019. doi:10.1016/j.neuroimage.2018.09.025.
