nm000138
Alex Motor Imagery dataset
EEG Zarr
EEG recordings from 8 healthy participants performing cue-based motor imagery of the right hand, feet, and rest, with 20 trials per class. The data were collected for the PhD thesis of A. Barachant on robust control of an effector through an asynchronous EEG brain-machine interface, and correspond to Step B (cue-based imagery without feedback) of the Brain Switch campaign. They are intended for familiarization and algorithm development, including Riemannian geometry and CSP-based classification.
- Participants
- 8
- Channels
- 16 (10-20)
- HED
- v8.4.0
- Size
- 232 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026