2009/11/04 by Taous‐Meriem Laleg‐Kirati, Laleg-Kirati, Taous-Meriem, Claire Médigue +8
Engineering · Medicine · #Cardiovascular Health and Disease Prevention #FOS: Physical sciences #Hemodynamic Monitoring and Therapy #Mathematical Physics (math-ph) #Medical Physics (physics.med-ph) #Non-Invasive Vital Sign Monitoring
paper · pdf · doi:10.48550/arxiv.0911.0837
openalex publication_date 2009/11/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper proposes a novel, simple and minimally invasive method for stroke volume variation assessment using arterial blood pressure measurements. The arterial blood pressure signal is reconstructed using a semi-classical signal analysis method allowing the computation of a parameter, called the first systolic invariant INVS1. We show that INVS1 is linearly related to stroke volume. To validate this approach, a statistical comparaison between INVS1 and stroke volume measured with the PiCCO technique was performed during a 15-mn recording in 21 mechanically ventilated patients in intensive care. In 94% of the whole recordings, a strong correlation was estimated by cross-correlation analysis (mean coefficient=0.9) and linear regression (mean coefficient=0.89). Once the linear relation had been verified, a Bland-Altman test showed the very good agreement between the two approaches and their interchangeability. For the remaining 6%, INVS1 and the PiCCO stroke volume were not correlated at all, and this discrepancy, interpreted with the help of mean pressure, heart rate and peripheral vascular resistances, was in favor of INVS1.