WRCC2023_MI_A: WRCC2023 MI-A three-class motor imagery dataset
A three-class motor imagery EEG dataset (left hand, right hand, feet) from the MI-A track of the 2023 World Robot Contest BCI competition. It includes recordings from nine participants, two of whom are stroke patients, with 90 cued 4-second imagery trials each (30 per class). Data were acquired at 1000 Hz from 59 EEG channels using a Neuracle wireless system and re-released in BIDS format with HED annotations via MOABB.
- Participants
- 9
- Channels
- 59 (10-10)
- HED
- v8.4.0
- Size
- 1.80 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026