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License: MIT License
This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery
License: MIT License
In fact, in every evaluation data with '*E.npz', events from 769 to 772 hadn't be marked, so how you extract your test trails?
First, I want to thank you for your effort. So clean implementation.
Would you mind sharing the code you used to extract *.npz files from the raw data?
Thank you
the paper is 404 not found,can you give me this paper?
in one more complex sample, your goal is to extract all kinds of experiments,but actually you extract the names of all the classes of experiments, but the corresponding EEG data is extracted as 768.It should be index +1.I want to ask if MY understanding is correct.
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