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dc.contributor.authorHorvath, Markus A.
dc.contributor.authorHu, Lucy
dc.contributor.authorMueller, Tanja
dc.contributor.authorHochstein, Jon
dc.contributor.authorRosalia, Luca
dc.contributor.authorHibbert, Kathryn A.
dc.contributor.authorHardin, Charles C.
dc.contributor.authorRoche, Ellen
dc.date.accessioned2020-08-18T20:52:47Z
dc.date.available2020-08-18T20:52:47Z
dc.date.issued2020-06
dc.date.submitted2019-12
dc.identifier.issn2473-2877
dc.identifier.urihttps://hdl.handle.net/1721.1/126661
dc.description.abstractIn 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.en_US
dc.description.sponsorshipNational Science Foundation (Award 1847541)en_US
dc.description.sponsorshipMuscular Dystrophy Association (Award MDA 577961)en_US
dc.language.isoen
dc.publisherAIP Publishingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1063/1.5140760en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAmerican Institute of Physics (AIP)en_US
dc.titleAn organosynthetic soft robotic respiratory simulatoren_US
dc.typeArticleen_US
dc.identifier.citationHorvath, Markus A. et al. "An organosynthetic soft robotic respiratory simulator." APL Bioengineering 4, 2 (June 2020): 026108 © 2020 Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering and Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.relation.journalAPL Bioengineeringen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-07-31T17:17:16Z
dspace.date.submission2020-07-31T17:17:19Z
mit.journal.volume4en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC


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