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Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation

Simulation models in respiratory research are increasingly used for medical product development and testing, especially because in-vivo models are coupled with a high degree of complexity and ethical concerns. This work introduces a respiratory simulation system, which is bridging the gap between th...

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Autores principales: Pasteka, Richard, Forjan, Mathias, Sauermann, Stefan, Drauschke, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930199/
https://www.ncbi.nlm.nih.gov/pubmed/31874980
http://dx.doi.org/10.1038/s41598-019-56176-6
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author Pasteka, Richard
Forjan, Mathias
Sauermann, Stefan
Drauschke, Andreas
author_facet Pasteka, Richard
Forjan, Mathias
Sauermann, Stefan
Drauschke, Andreas
author_sort Pasteka, Richard
collection PubMed
description Simulation models in respiratory research are increasingly used for medical product development and testing, especially because in-vivo models are coupled with a high degree of complexity and ethical concerns. This work introduces a respiratory simulation system, which is bridging the gap between the complex, real anatomical environment and the safe, cost-effective simulation methods. The presented electro-mechanical lung simulator, xPULM, combines in-silico, ex-vivo and mechanical respiratory approaches by realistically replicating an actively breathing human lung. The reproducibility of sinusoidal breathing simulations with xPULM was verified for selected breathing frequencies (10–18 bpm) and tidal volumes (400–600 ml) physiologically occurring during human breathing at rest. Human lung anatomy was modelled using latex bags and primed porcine lungs. High reproducibility of flow and pressure characteristics was shown by evaluating breathing cycles (n(Total) = 3273) with highest standard deviation |3σ| for both, simplified lung equivalents ([Formula: see text]  = 23.98 ± 1.04 l/min, μ(P) = −0.78 ± 0.63 hPa) and primed porcine lungs ([Formula: see text]  = 18.87 ± 2.49 l/min, μ(P) = −21.13 ± 1.47 hPa). The adaptability of the breathing simulation parameters, coupled with the use of porcine lungs salvaged from a slaughterhouse process, represents an advancement towards anatomically and physiologically realistic modelling of human respiration.
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spelling pubmed-69301992019-12-27 Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation Pasteka, Richard Forjan, Mathias Sauermann, Stefan Drauschke, Andreas Sci Rep Article Simulation models in respiratory research are increasingly used for medical product development and testing, especially because in-vivo models are coupled with a high degree of complexity and ethical concerns. This work introduces a respiratory simulation system, which is bridging the gap between the complex, real anatomical environment and the safe, cost-effective simulation methods. The presented electro-mechanical lung simulator, xPULM, combines in-silico, ex-vivo and mechanical respiratory approaches by realistically replicating an actively breathing human lung. The reproducibility of sinusoidal breathing simulations with xPULM was verified for selected breathing frequencies (10–18 bpm) and tidal volumes (400–600 ml) physiologically occurring during human breathing at rest. Human lung anatomy was modelled using latex bags and primed porcine lungs. High reproducibility of flow and pressure characteristics was shown by evaluating breathing cycles (n(Total) = 3273) with highest standard deviation |3σ| for both, simplified lung equivalents ([Formula: see text]  = 23.98 ± 1.04 l/min, μ(P) = −0.78 ± 0.63 hPa) and primed porcine lungs ([Formula: see text]  = 18.87 ± 2.49 l/min, μ(P) = −21.13 ± 1.47 hPa). The adaptability of the breathing simulation parameters, coupled with the use of porcine lungs salvaged from a slaughterhouse process, represents an advancement towards anatomically and physiologically realistic modelling of human respiration. Nature Publishing Group UK 2019-12-24 /pmc/articles/PMC6930199/ /pubmed/31874980 http://dx.doi.org/10.1038/s41598-019-56176-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Pasteka, Richard
Forjan, Mathias
Sauermann, Stefan
Drauschke, Andreas
Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation
title Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation
title_full Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation
title_fullStr Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation
title_full_unstemmed Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation
title_short Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation
title_sort electro-mechanical lung simulator using polymer and organic human lung equivalents for realistic breathing simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930199/
https://www.ncbi.nlm.nih.gov/pubmed/31874980
http://dx.doi.org/10.1038/s41598-019-56176-6
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