VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data

Di Zhu, Yu Yvonne Wu, Hong Jia, Aaqib Saeed, Vassilis Kostakos, Ting Dang

arXiv preprint· 2026
ECGPPG

Summary

An LLM agent framework, not a foundation model and not a trained network. It answers user questions about ECG/PPG recordings (reactive mode) and streams long recordings to raise alerts (proactive mode), using one shared memory and tool set.

Key facts

Form Factor
other

Reported benchmarks

AFib / arrhythmia

Long-term ECG and wrist PPG with annotated AF episodes (AFPPGECG) · Bal. accuracy ↑

#1 of 1
0.672

Per-window 10 s, deterministic RR-variability tools, no training; sens 78.3 / spec 56.1; 44 pts; only row on this axis

AFib / arrhythmia

icentia11k · Bal. accuracy ↑

#1 of 1
0.678

Same pipeline on ECG; sens 71.9 / spec 63.6; 25 pts; only row on this axis

Updated: Oct 10, 2026