Hello there, I have some trouble finding artifact correction methods for NIRS on MNE or MNE-NIRS.
Here are my setup details :
Platform: Windows-10-10
Python: 3.9.7 (default, Sep 16 2021, 16:59:28) [MSC v.1916 64 bit (AMD64)]
mne: 1.0.2
matplotlib: 3.5.1 {backend=module://matplotlib_inline.backend_inline}
mne_nirs: 0.4.0
I’ve been looking at the documentation and it seems like the most common techniques in the literature are not implemented in MNE :
-Spline interpolation is only developed for EEG data
-Wavelet filtering isn’t developped
-PCA technique a wrapper method for scikit is developped ( Analysis of evoked response using ICA and PCA reduction techniques — MNE 1.3.0 documentation).
-Tddr is implemented but I haven’t seen much literature using it.
Could you give me more documentation about artifact correction, which ones are implemented and how to use them ?
Thank you for your time,
Nolwenn