Quantification of Alveolar Recruitment for the Optimization of Mechanical Ventilation using Quasi-static Pressure Volume Curve
Mohsen Nabian, Uichiro Narusawa

TL;DR
This paper presents a method to quantify alveolar recruitment using pressure-volume curves, aiming to optimize mechanical ventilation settings for ARDS patients based on a respiratory system model.
Contribution
It introduces an analytical approach to determine optimal PEEP for alveolar recruitment from P-V curves using a respiratory system model.
Findings
Quantifies alveolar recruitment using P-V curves.
Provides a method to optimize PEEP settings.
Potential to improve ventilation strategies for ARDS.
Abstract
Quasi-static, pulmonary pressure-volume (P-V) curves over an inflation-deflation cycle are analyzed using a respiratory system model (RSM), which had been developed for quantitative characterization of the mechanical behavior of the total respiratory system. Optimum mechanical ventilation setting of Positive End Expiratory Pressure (PEEP) for total alveolar recruitment is quantified based on the existing P-V curves of healthy and injured animal models. Our analytical predictions may contribute to the optimization of mechanical ventilation settings for the Acute Respiratory Distress Syndrome (ARDS) patients.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRespiratory Support and Mechanisms · Mechanical Circulatory Support Devices · Neonatal Respiratory Health Research
