nm000456
Human-AI collaboration for co-managing epilepsy in real time: scalp EEG and SEEG from 13 epilepsy monitoring unit patients
EEG iEEG Zarr fidelity issue
This dataset contains continuous scalp EEG and stereo-EEG (SEEG) recordings from 13 patients undergoing video-EEG monitoring in an epilepsy monitoring unit. It supports a prototype human-AI system in which a conversational smartphone agent collects patient and clinician feedback to retrain seizure detection models. The BIDS conversion includes per-recording-day EDF files, event annotations (seizures, patient events, sleep, medications), and derivative model outputs.
- Participants
- 13
- Channels
- 28 (10-10)
- Size
- 514 GB
- Version
- v1.0.2
- Updated
- Oct 16, 2026