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license: mit |
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The raw files contain raw EEG values (`.eeg` files) for patients, with corresponding: |
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1. `.art` files that denote level of artifact at a given time position. 0 -- No noise, 1 and more -- Noise. |
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2. `.evt` files that denote external stimulus at a given time position. |
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There is data for 17 channels: FP1, FP2, F3, F4, F7, F8, C3, C4, P3, P4, O1, O2, T3, T4, FZ, CZ, PZ. So the `.eeg` and `.art` files contain 17 space separated columns, while the `.evt` file contains only 1 column denoting the stimulus. |
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The `.pkl` files contain filtered data from patients as a dictionary of numpy arrays which have been artifact filtered (only 0 noise level), and contig length (200 here) chopped. |
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The dictionary has two keys "wmci" and "wctrl", representing the two classes MCI and Control for the WAVi dataset. |
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Each element in the dictionary is a list of patients data stored as a list of arrays. |
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``` |
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-wmci |
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|-patient 1 |
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||-contig 1 (a [17 x 200] array) |
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||-contig 2 |
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||... |
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||-contig N_1 (number of contigs for patient 1) |
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|-patient 2 |
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||-contig 1 (a [17 x 200] array) |
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||-contig 2 |
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||... |
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||-contig N_2 |
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|... |
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-wctrl |
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|-patient 1 |
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|... |
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``` |
