Abstract
This article presents an approach for model-based and personalized determination of inspiratory pressure and inspiratory time in pressure-controlled ventilation. Lung mechanics are strongly dependent on weight and affected by lung diseases such as COPD. Based on a simplified model of the lung with weight- and COPD-specific parameter selection and consideration of ventilation guidelines, the appropriate inspiratory pressure values are calculated. The results illustrate the effect of BMI on the computed optimal pressure-volume ratio. The findings provide a first step towards individualized decision support systems taking into account additional effects like BMI and specific lung diseases.
Zusammenfassung
In diesem Artikel wird ein Ansatz zur modellbasierten und personalisierten Bestimmung von Inspirationsdruck und Inspirationszeit bei der druckkontrollierten Beatmung vorgestellt. Die Lungenmechanik ist stark abhängig vom Gewicht und wird von Erkrankunngen wie COPD beeinflusst. Auf der Grundlage eines vereinfachten Lungenmodells mit gewichts- und COPD-spezifischer Parameterauswahl und unter Berücksichtigung von Beatmungsleitlinien werden die entsprechenden Inspirationsdruckwerte berechnet. Die Ergebnisse verdeutlichen den Einfluss des BMI auf die berechneten optimalen Druckvolumina. Die Erkenntnisse sind ein erster Schritt zu einer individualisierten Entscheidungsunterstützung unter Berücksichtigung zusätzlicher Effekte wie BMI und spezifischer Lungenerkrankungen.
About the authors
Carlotta Hennigs has held a B.Sc. degree in Medical Engineering Science from Universität zu Lübeck, since 2018. Completing her master thesis at Drägerwerk AG & Co. KGaA in 2020, she received the M.Sc. degree in Medical Engineering Science at the Universität zu Lübeck. Since 2020 she has been employed as research associate at the Institute for Electrical Engineering in Medicine at the Universität zu Lübeck.
Kai Brehmer is a postdoctoral researcher at the Institute for Electrical Engineering in Medicine at the University of Lübeck. His research interests include biomedical signal and image processing, in particular, image registration, the mathematical modeling and analysis of biomedical systems, numerical optimization and the mathematical aspects of AI and Deep Learning in medicine.
Tim Tristan Hardel works as an intensive care specialist at the department for intensive care medicine at university medical center Hamburg-Eppendorf. He graduated in 2010 from the University of Lübeck and received his Dr. med. in 2015 from the University of Lübeck. His research interests include the mechanics of assisted ventilation and oxygenation strategies for critically ill patients.
Philipp Rostalski is a professor for Electrical Engineering in Medicine and founding director of the corresponding institute at the University of Lübeck. Since 2020 he has been also director at the Fraunhofer Research Institution for Individualized and Cell-based Medical Engineering (IMTE) in Lübeck. He received his Ph.D. degree from ETH Zurich, Switzerland and served as a Feodor Lynen Scholar at the Department of Mathematics and the Department of Mechanical Engineering, University of California Berkeley, USA. His research activities include model- and data-driven methods in signal processing and control with a particular focus on safety critical systems. His primary application domains are biomedical and autonomous systems.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This work was partially supported by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) through the KI-SIGS – Project (FKZ: 01MK20012B) and “Cross-Innovation-Center – TANDEM Phase III (TANDEM III-CIC)” LPW-E/1.1.1/1521.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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