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dc.contributor.authorQuevedo‐Moreno, Diego
dc.contributor.authorLee, Sang‐Yoep
dc.contributor.authorTagoe, Jonathan
dc.contributor.authorEmani, Vishnu
dc.contributor.authorBonnemain, Jean
dc.contributor.authorRoche, Ellen T
dc.date.accessioned2025-10-08T15:22:01Z
dc.date.available2025-10-08T15:22:01Z
dc.date.issued2025-04-28
dc.identifier.urihttps://hdl.handle.net/1721.1/163077
dc.description.abstractThe diaphragm is a critical muscle for respiration, responsible for up to 70% ofthe inspiratory effort. Standard treatment for patients with severe diaphragmdysfunction is permanently tethering the airway to a mechanical ventilator, whichgreatly impacts patient autonomy and quality of life. Soft robots are ideal to assistin complex biological functions, such as diaphragm contraction. This articleintroduces a soft robotic diaphragm-assist device designed as a therapeutictreatment for diaphragm dysfunction, moreover a clinically relevant respiratorysimulator is designed and proposed as a validation and testing tool for thistreatment. The device uses fabric-based pneumatic actuators to provide targetedmechanical assistance during inhalation. A two-step control system is imple-mented to optimize synchronization and support: 1) detecting breath intentionfrom the pleural pressure signal to trigger the device and 2) regulating thedevice’s input pressure to assist in inhalation. Using the respiratory simulator,the device demonstrated the ability to restore pleural and abdominal pressuresand significantly increased transdiaphragmatic pressure during simulated con-ditions of diaphragm dysfunction. This research advances the field of softrobotics in respiratory care, providing a foundational platform for the develop-ment of next-generation therapeutic devices aimed at improving the quality of lifefor patients with diaphragm dysfunction.en_US
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionofhttps://doi.org/10.1002/aisy.202401087en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceWileyen_US
dc.titleDesign, Modeling, and Control of a Soft Robotic Diaphragm‐Assist Device in a Respiratory Simulatoren_US
dc.typeArticleen_US
dc.identifier.citationQuevedo-Moreno, D., Lee, S.-Y., Tagoe, J., Emani, V., Bonnemain, J. and Roche, E.T. (2025), Design, Modeling, and Control of a Soft Robotic Diaphragm-Assist Device in a Respiratory Simulator. Adv. Intell. Syst., 7: 2401087.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.relation.journalAdvanced Intelligent Systemsen_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.updated2025-10-08T15:14:02Z
dspace.orderedauthorsQuevedo‐Moreno, D; Lee, S; Tagoe, J; Emani, V; Bonnemain, J; Roche, ETen_US
dspace.date.submission2025-10-08T15:14:06Z
mit.journal.volume7en_US
mit.journal.issue7en_US
mit.licensePUBLISHER_CC


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