SENTINEL-6G

SENTINEL-6G develops a distributed edge-AI triage system designed for emergency response in disaster, mass-casualty, and infrastructure-degraded environments. In such scenarios, medical teams must rapidly assess physiological conditions, prioritize interventions, and coordinate across fragmented communication networks. Existing solutions rely heavily on centralized infrastructure, limiting their effectiveness under disrupted conditions.

SENTINEL-6G addresses this gap through a non-invasive wearable integrating biomedical sensors (heart rate, SpO₂, temperature), motion detection and GNSS positioning. Unlike traditional monitoring systems, intelligence begins directly on the device: optimized AI models run on the wearable microcontroller to perform real-time anomaly detection and automated triage scoring. Alerts are generated locally and transmitted using event-driven communication (BLE, NB-IoT, LTE-M), reducing dependency on constant connectivity.

The system integrates with the UWS–Aston 6G testbed to demonstrate scalable coordination of multiple devices under realistic high-density emergency scenarios. Edge computing capabilities support low-latency aggregation and prioritization of patient data via a dedicated triage dashboard for first responders.

Clinical interoperability is ensured through integration with FAVIT’s SALUDATA platform, enabling structured HL7/FHIR-compliant linkage to Electronic Health Records (EHR) when connectivity is available. This enables continuity of care from field to hospital without compromising data privacy.

SENTINEL-6G evolves from a TRL4 laboratory prototype to a TRL6 field-validated demonstrator, showcasing how embedded AI, edge intelligence, and advanced networking can transform emergency healthcare delivery into a scalable, resilient, and privacy-preserving system.