Utilizing multiple bioMEMS sensors to monitor orthopaedic strain and predict bone fracture healing

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buir.contributor.authorDemir, Hilmi Volkan
buir.contributor.authorÜnal, Emre
buir.contributor.orcidDemir, Hilmi Volkan|0000-0003-1793-112X
dc.citation.epage1880en_US
dc.citation.issueNumber9en_US
dc.citation.spage1873en_US
dc.citation.volumeNumber37en_US
dc.contributor.authorWolynski, J.en_US
dc.contributor.authorSutherland, C.en_US
dc.contributor.authorDemir, Hilmi Volkanen_US
dc.contributor.authorÜnal, Emreen_US
dc.contributor.authorAlipour, A.en_US
dc.contributor.authorPuttlitz, C.en_US
dc.contributor.authorMcGilvray, K.en_US
dc.date.accessioned2020-02-11T11:47:52Z
dc.date.available2020-02-11T11:47:52Z
dc.date.issued2019
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentDepartment of Physicsen_US
dc.departmentInstitute of Materials Science and Nanotechnology (UNAM)en_US
dc.description.abstractCurrent diagnostic modalities, such as radiographs or computed tomography, exhibit limited ability to predict the outcome of bone fracture healing. Failed fracture healing after orthopaedic surgical treatments are typically treated by secondary surgery; however, the negative correlation of time between primary and secondary surgeries with resultant health outcome and medical cost accumulation drives the need for improved diagnostic tools. This study describes the simultaneous use of multiple (n = 5) implantable flexible substrate wireless microelectromechanical (fsBioMEMS) sensors adhered to an intramedullary nail (IMN) to quantify the biomechanical environment along the length of fracture fixation hardware during simulated healing in ex vivo ovine tibiae. This study further describes the development of an antenna array for interrogation of five fsBioMEMS sensors simultaneously, and quantifies the ability of these sensors to transmit signal through overlaying soft tissues. The ex vivo data indicated significant differences associated with sensor location on the IMN (p < 0.01) and fracture state (p < 0.01). These data indicate that the fsBioMEMS sensor can serve as a tool to diagnose the current state of fracture healing, and further supports the use of the fsBioMEMS as a means to predict fracture healing due to the known existence of latency between changes in fracture site material properties and radiographic changes. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 37:1873–1880, 2019en_US
dc.description.sponsorshipNational Institute of Arthritis and Musculoskeletal and Skin Diseases. Grant Number: R01AR069734‐01en_US
dc.embargo.release2020-09-01
dc.identifier.doi10.1002/jor.24325en_US
dc.identifier.issn0736-0266
dc.identifier.urihttp://hdl.handle.net/11693/53276
dc.language.isoEnglishen_US
dc.publisherWiley Periodicals, Inc.en_US
dc.relation.isversionofhttps://doi.org/10.1002/jor.24325en_US
dc.source.titleJournal of Orthopaedic Researchen_US
dc.subjectMicroelectromechanical system (MEMS)en_US
dc.subjectFracture healingen_US
dc.subjectBiomechanicsen_US
dc.subjectOvineen_US
dc.titleUtilizing multiple bioMEMS sensors to monitor orthopaedic strain and predict bone fracture healingen_US
dc.typeArticleen_US

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Institute of Materials Science and Nanotechnology (UNAM)
Department of Electrical and Electronics Engineering
Department of Physics