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dc.contributor.advisorShiakolas, Panayiotis S.
dc.creatorAbraham, Michael R.
dc.date.accessioned2019-07-17T19:04:36Z
dc.date.available2019-07-17T19:04:36Z
dc.date.created2016-12
dc.date.issued2016-12-20
dc.date.submittedDecember 2016
dc.identifier.urihttp://hdl.handle.net/10106/28379
dc.description.abstractVaginal prolapse is a common condition that affects a large number (approximately 3.3 million in the US) of women, mainly above the age of 50 years. The condition is characterized by the weakening and breakdown of the pelvic support structures such as muscles and connective tissues, leading to the dislodging and prolapse of pelvic organs. Current examinations of the pelvic tissue are manually performed by the physician who assesses its rigidity. These exams are subjective and offer qualitative rather than quantitative results of the state of the pelvic tissue. In this research, a complete system was conceptualized and designed to assess the biomechanical properties of the anterior vaginal wall in-vivo. The design mimics the palpating action performed by the physician on the vaginal wall to sense its rigidity. The reaction force profile resulting from the palpation is recorded and curve-fit to characterize the viscoelastic properties of the vaginal tissue. The data can later be used to provide a quantitative measure for the onset and progression of a condition by tracking the viscoelastic properties of the tissue. Considerations were taken into account to accommodate the environment constraints. Different sensing, actuation, and control technologies were explored and revised to improve the design. Finite element analysis (FEA) was performed to verify the structural safety of the hardware components. The system is controlled using National Instruments (NI) LabVIEW software and a NI myRIO controller. Additionally, a graphical user interface (GUI) in LabVIEW was developed and integrated to ease the operation of the device by a physician for in-vivo testing. The system was used to collect an initial sample set of in-vivo data from patients to verify the operational function of the prototyped system and identify areas in need of improvement.
dc.format.mimetypeapplication/pdf
dc.subjectIn-vivo medical diagnosis
dc.subjectDiagnostic system
dc.subjectSoft tissue characterization
dc.titleAutomated System for the Characterization of the Biomechanical Properties of Human Soft Tissue
dc.typeThesis
dc.degree.departmentMechanical and Aerospace Engineering
dc.degree.nameMaster of Science in Mechanical Engineering
dc.date.updated2019-07-17T19:04:37Z
thesis.degree.departmentMechanical and Aerospace Engineering
thesis.degree.grantorThe University of Texas at Arlington
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Mechanical Engineering
dc.type.materialtext


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