Multi-day MI-BCI dataset (WBCIC-SHU) from Yang et al 2025
A multi-day motor imagery brain-computer interface (MI-BCI) dataset comprising EEG recordings from 51 healthy subjects performing left and right hand motor imagery tasks across three sessions. The dataset includes 59-channel EEG data (plus 1 ECG and 4 EOG channels) sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials with visual and auditory cues. This resource supports the development and benchmarking of BCI algorithms for motor control applications.
- Participants
- 51
- Size
- 58.4 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026