Proceedings on Automation in Medical Engineering
Vol. 2 No. 1 (2023): Proc AUTOMED

Automation in lung support and ventilation, ID 732

A lung model considering age, sex and height: an in-silico study - lung mechanics

Main Article Content

Sophia Merrath (Institute for Electrical Engineering in Medicine, Universität zu Lübeck, Lübeck, Germany), Carlotta Hennigs (Institute for Electrical Engineering in Medicine, Universität zu Lübeck, Lübeck, Germany), Andra Oltmann (Fraunhofer IMTE, Lübeck, Germany), Philipp Rostalski (Fraunhofer IMTE)

Abstract

We present an in-silico study by simulating the respiratory system of a healthy virtual cohort as a use case for testing highly automated functions in mechanical ventilators in a model-based way. As a first part of the in-silico study, this paper focuses on the lung mechanics while the individual gas exchange is published in a separate paper. For this purpose, a linear single-compartment model of the lung is adapted based on literature results, so that it can represent the changes in a patient’s lung mechanics resulting from the specific personal characteristics age, sex and height. The results confirm the ability of the adapted model to show the main predicted individual changes of the lung volume as they are in agreement with literature data.

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