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The files here are with the first run of this session, which we rejected later because it was with 2 monitors, and a psychopy bug caused the timings of all the cues to be doubled. |
- Contains preprocessed EEG data collecting during handwriting execution and handwriting imagery by 4 participants, named P1, P2, P3 and P4.
- Each folder corresponds to one session, eg. P1_23Mar23 is the data collected on 23 March 2023, from Participant 1.
- Each folder contains a folder called 'preprocessed' (currently no raw data). Within, there are 2 versions of the session data: a 0.3 to 40 Hz version and a 0.3 to 3 Hz version.
- Within those folders, a .fdt and a .set file is the dataset, in standard EEGLab format. You can read it in using mne-python as well.
- For the 'movement-locked' setting, epoch around the 'L_pen_down', 'O_pen_down', 'V_pen_down', 'W_pen_down' events using the built-in mne commands, and you have a dataset ready for training.
- The 'cue-locked' setting, epoch around the 'L_shown', 'O_shown', 'V_shown', 'W_shown' events.
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