nm000311
Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)
EEG
A multimodal EEG dataset comprising motor imagery and motor execution data from 25 healthy subjects performing 11 intuitive upper-limb movement tasks (6 reaching, 3 grasping, 2 wrist twisting) across 3 sessions. The dataset includes 71-channel EEG recordings (60 EEG, 4 EOG, 7 EMG channels) sampled at 1000 Hz with synchronized behavioral annotations, designed for brain-computer interface research and motor control applications. This is a BIDS-formatted derivative dataset converted from the original Jeong et al. 2020 publication using MOABB (Mother of All BCI Benchmarks).
- Participants
- 25
- Channels
- 71 (10-10)
- Citations
- 82
- HED
- v8.4.0
- Size
- 326 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026