Multi-joint upper-limb MI dataset from Yi et al. 2025
A multi-joint upper-limb motor imagery EEG dataset comprising 18 healthy subjects performing eight distinct imagery tasks involving hand, wrist, elbow, and shoulder movements. The dataset contains 320 trials per subject acquired at 1000 Hz using 62-channel EEG with visual cue-based paradigm, designed for brain-computer interface research and motor rehabilitation applications.
- Participants
- 18
- Channels
- 62 (10-10)
- Citations
- 4
- HED
- v8.4.0
- Size
- 50.0 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026