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BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset

This dataset comprises EEG recordings from 15 healthy participants performing reach-and-grasp motor imagery tasks using three different electrode systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with 7200 total trials. Participants executed palmar grasp (toward glass) and lateral grasp (toward spoon) actions. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.

Participants: 45
Channels: 58 (10-05)
Citations: 51
HED: v8.4.0
Size: 8.67 GB
Version: v1.0.3
Updated: Aug 18, 2026

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