A non-invasive
diagnostic system assesses the optimal timing for
aortic valve replacement (AVR) by quantifying left-ventricular Frank-Starling reserve before irreversible myocardial damage occurs. The
system (i) acquires left-ventricular
ejection time (LVET) and other systolic-time intervals from optical or vibrational sensors positioned on the patient, (ii) induces a reversible preload change—e.g., passive
leg raise or posture transition—to create a controlled venous-return increment, (iii) processes the paired baseline and post-maneuver waveforms to extract systolic time interval
metrics, and (iv) analyzes the ΔLVET / Δpreload relationship against historical or
population references. A diminished LVET response signals loss of contractile reserve, enabling timely AVR while myocardial changes remain reversible. The platform integrates measurement hardware, a data-
processing engine, a data-analysis module, and a reporting interface, and may be configured as a
wrist, ring, chest, or ear sensor. The method can be implemented at point-of-care without operator-dependent imaging or invasive monitoring.