Idea to implement for EEG decoding the option to convert it to DFT?
SjoerdTimovanVliet opened this issue · 1 comments
📝 Provide a description of the new feature
What is the expected behavior of the proposed feature? What is the scenario this would be used?
Modify the code such that it is converted to DFT using FFT as possible preprocessing step, before decoding the brainsignals.
If you'd like to see this feature implemented, add a 👍 reaction to this post.
Our library implements a minimal set of analysis tools and is mainly for running and recording EEG experiments with mobile EEG. For preprocessing and processing EEG data, there are other libraries commonly used (such as SciPy and MNE-Python).
But if you would like, you can make an example tutorial (a la this section of the docs website) comparing DFT and FFT for neural time series analysis, and make a pull request for it, we would be more than happy to look at it.
Thank you again.