Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)
A multimodal EEG, EOG and EMG dataset from 25 healthy, BCI-naive right-handed participants performing motor imagery and real movement of 11 intuitive upper-limb tasks. The tasks were 6 reaching directions, 3 grasping types and 2 wrist-twisting movements. Each participant completed 3 sessions of 550 trials. Recordings used 60 EEG channels at 1000 Hz. This BIDS derivative was generated via MOABB and is intended for BCI research on motor control and prosthetics.
- Participants
- 25
- Channels
- 71 (10-10)
- Citations
- 87
- HED
- v8.4.0
- Size
- 326 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026