Cargando…
An organosynthetic soft robotic respiratory simulator
In this work, we describe a benchtop model that recreates the motion and function of the diaphragm using a combination of advanced robotic and organic tissue. First, we build a high-fidelity anthropomorphic model of the diaphragm using thermoplastic and elastomeric material based on clinical imaging...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIP Publishing LLC
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286700/ https://www.ncbi.nlm.nih.gov/pubmed/32566890 http://dx.doi.org/10.1063/1.5140760 |
_version_ | 1783544921454542848 |
---|---|
author | Horvath, Markus A. Hu, Lucy Mueller, Tanja Hochstein, Jon Rosalia, Luca Hibbert, Kathryn A. Hardin, Charles C. Roche, Ellen T. |
author_facet | Horvath, Markus A. Hu, Lucy Mueller, Tanja Hochstein, Jon Rosalia, Luca Hibbert, Kathryn A. Hardin, Charles C. Roche, Ellen T. |
author_sort | Horvath, Markus A. |
collection | PubMed |
description | In this work, we describe a benchtop model that recreates the motion and function of the diaphragm using a combination of advanced robotic and organic tissue. First, we build a high-fidelity anthropomorphic model of the diaphragm using thermoplastic and elastomeric material based on clinical imaging data. We then attach pneumatic artificial muscles to this elastomeric diaphragm, pre-programmed to move in a clinically relevant manner when pressurized. By inserting this diaphragm as the divider between two chambers in a benchtop model—one representing the thorax and the other the abdomen—and subsequently activating the diaphragm, we can recreate the pressure changes that cause lungs to inflate and deflate during regular breathing. Insertion of organic lungs in the thoracic cavity demonstrates this inflation and deflation in response to the pressures generated by our robotic diaphragm. By tailoring the input pressures and timing, we can represent different breathing motions and disease states. We instrument the model with multiple sensors to measure pressures, volumes, and flows and display these data in real-time, allowing the user to vary inputs such as the breathing rate and compliance of various components, and so they can observe and measure the downstream effect of changing these parameters. In this way, the model elucidates fundamental physiological concepts and can demonstrate pathology and the interplay of components of the respiratory system. This model will serve as an innovative and effective pedagogical tool for educating students on respiratory physiology and pathology in a user-controlled, interactive manner. It will also serve as an anatomically and physiologically accurate testbed for devices or pleural sealants that reside in the thoracic cavity, representing a vast improvement over existing models and ultimately reducing the requirement for testing these technologies in animal models. Finally, it will act as an impactful visualization tool for educating and engaging the broader community. |
format | Online Article Text |
id | pubmed-7286700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AIP Publishing LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-72867002020-06-18 An organosynthetic soft robotic respiratory simulator Horvath, Markus A. Hu, Lucy Mueller, Tanja Hochstein, Jon Rosalia, Luca Hibbert, Kathryn A. Hardin, Charles C. Roche, Ellen T. APL Bioeng Articles In this work, we describe a benchtop model that recreates the motion and function of the diaphragm using a combination of advanced robotic and organic tissue. First, we build a high-fidelity anthropomorphic model of the diaphragm using thermoplastic and elastomeric material based on clinical imaging data. We then attach pneumatic artificial muscles to this elastomeric diaphragm, pre-programmed to move in a clinically relevant manner when pressurized. By inserting this diaphragm as the divider between two chambers in a benchtop model—one representing the thorax and the other the abdomen—and subsequently activating the diaphragm, we can recreate the pressure changes that cause lungs to inflate and deflate during regular breathing. Insertion of organic lungs in the thoracic cavity demonstrates this inflation and deflation in response to the pressures generated by our robotic diaphragm. By tailoring the input pressures and timing, we can represent different breathing motions and disease states. We instrument the model with multiple sensors to measure pressures, volumes, and flows and display these data in real-time, allowing the user to vary inputs such as the breathing rate and compliance of various components, and so they can observe and measure the downstream effect of changing these parameters. In this way, the model elucidates fundamental physiological concepts and can demonstrate pathology and the interplay of components of the respiratory system. This model will serve as an innovative and effective pedagogical tool for educating students on respiratory physiology and pathology in a user-controlled, interactive manner. It will also serve as an anatomically and physiologically accurate testbed for devices or pleural sealants that reside in the thoracic cavity, representing a vast improvement over existing models and ultimately reducing the requirement for testing these technologies in animal models. Finally, it will act as an impactful visualization tool for educating and engaging the broader community. AIP Publishing LLC 2020-06-09 /pmc/articles/PMC7286700/ /pubmed/32566890 http://dx.doi.org/10.1063/1.5140760 Text en © 2020 Author(s). 2473-2877/2020/4(2)/026108/13 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Articles Horvath, Markus A. Hu, Lucy Mueller, Tanja Hochstein, Jon Rosalia, Luca Hibbert, Kathryn A. Hardin, Charles C. Roche, Ellen T. An organosynthetic soft robotic respiratory simulator |
title | An organosynthetic soft robotic respiratory simulator |
title_full | An organosynthetic soft robotic respiratory simulator |
title_fullStr | An organosynthetic soft robotic respiratory simulator |
title_full_unstemmed | An organosynthetic soft robotic respiratory simulator |
title_short | An organosynthetic soft robotic respiratory simulator |
title_sort | organosynthetic soft robotic respiratory simulator |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286700/ https://www.ncbi.nlm.nih.gov/pubmed/32566890 http://dx.doi.org/10.1063/1.5140760 |
work_keys_str_mv | AT horvathmarkusa anorganosyntheticsoftroboticrespiratorysimulator AT hulucy anorganosyntheticsoftroboticrespiratorysimulator AT muellertanja anorganosyntheticsoftroboticrespiratorysimulator AT hochsteinjon anorganosyntheticsoftroboticrespiratorysimulator AT rosalialuca anorganosyntheticsoftroboticrespiratorysimulator AT hibbertkathryna anorganosyntheticsoftroboticrespiratorysimulator AT hardincharlesc anorganosyntheticsoftroboticrespiratorysimulator AT rocheellent anorganosyntheticsoftroboticrespiratorysimulator AT horvathmarkusa organosyntheticsoftroboticrespiratorysimulator AT hulucy organosyntheticsoftroboticrespiratorysimulator AT muellertanja organosyntheticsoftroboticrespiratorysimulator AT hochsteinjon organosyntheticsoftroboticrespiratorysimulator AT rosalialuca organosyntheticsoftroboticrespiratorysimulator AT hibbertkathryna organosyntheticsoftroboticrespiratorysimulator AT hardincharlesc organosyntheticsoftroboticrespiratorysimulator AT rocheellent organosyntheticsoftroboticrespiratorysimulator |