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