Unknown

Dataset Information

A Damaged-Informed Lung Ventilator Model for Ventilator Waveforms.


ABSTRACT: Motivated by a desire to understand pulmonary physiology, scientists have developed physiological lung models of varying complexity. However, pathophysiology and interactions between human lungs and ventilators, e.g., ventilator-induced lung injury (VILI), present challenges for modeling efforts. This is because the real-world pressure and volume signals may be too complex for simple models to capture, and while complex models tend not to be estimable with clinical data, limiting clinical utility. To address this gap, in this manuscript we developed a new damaged-informed lung ventilator (DILV) model. This approach relies on mathematizing ventilator pressure and volume waveforms, including lung physiology, mechanical ventilation, and their interaction. The model begins with nominal wavefor

SUBMITTER: Agrawal DK 

PROVIDER: S-EPMC8517122 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature