Motor imagery BCI dataset with pupillometry augmentation
- Participants
- 30
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 975 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "real-time neurofeedback" · page 7 of 10 · ranked by relevance
…Participants responded using a button press, with a maximum response time of…
Imported from OpenNeuro ds005628
Imported from OpenNeuro ds003194
…should not be interpreted as real time-contiguous data across clip boundaries…
…Real-time adaptive RMDM classifier used for assessing participants' command with calibration…
…should not be interpreted as real time-contiguous data across clip boundaries…
This dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording 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 a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
…event-related lane-departure paradigm A virtual-reality (VR) dynamic driving simulator…
Imported from OpenNeuro ds005028