Datasets › AlexMI
AlexMI (Alex Motor Imagery dataset)
Alex Motor Imagery dataset.
Dataset summary
Motor imagery dataset from the PhD dissertation of A. Barachant.
This Dataset contains EEG recordings from 8 subjects, performing 2 task of motor imagination (right hand, feet or rest). Data have been recorded at 512Hz with 16 wet electrodes (Fpz, F7, F3, Fz, F4, F8, T7, C3, Cz, C4, T8, P7, P3, Pz, P4, P8) with a g.tec g.USBamp EEG amplifier.
File are provided in MNE raw file format. A stimulation channel encoding the timing of the motor imagination. The start of a trial is encoded as 1, then the actual start of the motor imagination is encoded with 2 for imagination of a right hand movement, 3 for imagination of both feet movement and 4 with a rest trial.
The duration of each trial is 3 second. There is 20 trial of each class.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
CC0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- AlexMI
1 variant name, as the archive lists them.
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