Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population
A large-scale longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with more than 250,000 trials of motor imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
- Participants
- 62
- Channels
- 60 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 722 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026