BNCI 2025-002 Continuous 2D Trajectory Decoding dataset
This dataset comprises continuous 2D trajectory decoding from attempted arm movements recorded via 60-channel EEG from 10 participants (9 able-bodied, 1 with spinal cord injury) across 3 sessions. Participants performed motor imagery tasks including target-tracking (snakerun) and self-paced shape tracing (freerun) with visual feedback. The preprocessed data, sampled at 20 Hz after extensive artifact removal and filtering, is designed for regression-based continuous decoding research and investigation of learning effects across sessions.
- Participants
- 10
- Channels
- 60 (10-05)
- Citations
- 20
- HED
- v8.4.0
- Size
- 7.38 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026