nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEG Zarr
EEG recordings from healthy participants performing self-initiated palmar and lateral reach-and-grasp actions, acquired simultaneously across three recording systems: gel-based laboratory EEG, water-based mobile EEG, and dry-electrode mobile EEG. The dataset supports investigation of the feasibility of decoding natural reach-and-grasp movement-related cortical potentials across EEG acquisition modalities for brain-computer interface applications. It is distributed in BIDS format as part of the MOABB benchmark collection.
- Participants
- 45
- Channels
- 58 (10-05)
- Citations
- 50
- HED
- v8.4.0
- Size
- 8.67 GB
- Version
- v1.0.4
- Updated
- Oct 8, 2026