VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data
arXiv:2605.29483v1 Announce Type: new Abstract: Wearable devices enable continuous monitoring of physiological signals such as ECG and PPG, but existing mHealth systems are largely limited to task-specific prediction pipelines or reactive question answering over static summaries. They lack the ability to support temporal reasoning, persistent physiological context, and proactive monitoring over long-term signal streams. We propose VitalAgent, a tool-augmented agentic framework for ECG/PPG-based mHealth that supports both reactive question answering and proactive monitoring. VitalAgent is built
Advances in wearable technology, AI models capable of temporal reasoning, and the maturation of agentic frameworks are converging to enable proactive health monitoring.
This development indicates a significant step towards autonomous, personalized health management, moving beyond reactive systems to continuous, context-aware physiological monitoring.
Health monitoring shifts from passive data collection and discrete query responses to an active, always-on agent that understands longitudinal physiological context and anticipates health issues.
- · Wearable device manufacturers
- · AI health tech companies
- · Preventative healthcare sector
- · Patients with chronic conditions
- · Traditional reactive mHealth apps
- · Static health data platforms
Personalized health alerts and interventions become common, improving early detection of medical conditions.
Demand for health data integration and security solutions will surge as agents access sensitive physiological streams.
The role of human medical professionals could evolve, focusing more on complex diagnostics and strategic treatment plans, supported by AI agents handling routine monitoring.
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Read at arXiv cs.AI