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PostPosted: Wed Oct 10, 2018 8:26 am 
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Joined: Tue Mar 13, 2018 12:39 pm
Posts: 10
Dear all, recently I've tried to use the continuous wavelet analysis box as a feature generator for motor imagery BCI scenarios. My use case was similar to using FFT for that purposes, I did not really care about the timing of the features (relevant pieces of the EEG signal are selected using the 'Stimulation based epoching' box). For that purpose, I put together a simple python box that aims to re-arrange the CWT time-frequency output into chronologically sorted frequency bins (generated by the CWT).

You can find the box here: https://github.com/xskola/notes-on-openvibe. It requires one setting, 'Number of frequencies' (set it to correspond to your CWT setting) and can handle arbitrary number of channels. Nevertheless, the code is very simple and probably will require some adjustments for future utility.


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