- MNE-Python version: 0.22.0
- operating system: win10
I performed ICA on the original data and got 12 independent components, one of which looked like an electrooculogram artifact.
But I don’t want to completely remove this independent component now, because it is likely to contain part of the neural activity, so I want to perform certain filtering operations on this independent component (such as DWT), and then replace the original independent component with the decomposed signal, In this way, the signal-to-noise ratio of the signal can be guaranteed to the greatest extent.
But I haven’t found the relevant API in MNE to complete this function.Does anyone know what to do?
So far I have completed the filtering of artifact components, but I don’t know how to replace it.