Research prototypeEEG · Edge AI
Epilepsy Early-Warning System
A wearable-to-edge concept for distinguishing ictal, preictal, postictal, and normal EEG states and exploring whether a useful warning can be produced before a seizure.
Project record
This page reports the maturity and evidence documented in Ethosoft's working archive. It does not imply peer review, regulatory clearance, or clinical validation.
Methods and evidence
Epilepsy Early-Warning System
A wearable-to-edge concept for distinguishing ictal, preictal, postictal, and normal EEG states and exploring whether a useful warning can be produced before a seizure.
- Data and signals
- TUH EEG records, reduced to an eight-channel configuration.
- Pipeline
- Multi-scale temporal features, channel attention and fusion, temporal context modeling, OpenBCI Cyton, Raspberry Pi, and a Flutter companion app.
- Intended workflow
- Wearable sensing, edge inference, alerts, emergency location sharing, and medication tracking.
Evidence boundary: the local brief sets a two-to-five-minute pre-seizure warning as a design target; it does not provide prospective clinical validation for that target.