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Data files #10
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trials_subNums: contains subject number ids for each trial, basically which subject the trial belongs to Neuroscan_locs_orig: 3D locations for each electrode you are using. Most caps are based on standard 10-10 electrodes that you can find their coordinates from 'python mne' or EEGLAB FeatureMat_timeWin: It is described in the paper. Basically for each trial and electrode, apply FFT on the time binned data and average the power over the frequency bands of interest. |
Thank you. It's much clear now. Working on it .......... |
Great! Closing this... |
Thank you for your previous replies. I read your paper and also understand the procedure. Able to run your program end to end. But not able to figure out how to generate those data files - if i am using different data sets.
Sample data folder location:
https://github.com/pbashivan/EEGLearn/tree/master/Sample%20data
But i would like to know how the below files formed (As i am trying with different data sets)
FeatureMat_timeWin.mat
Neuroscan_locs_orig.mat
trials_subNums.mat
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