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dc.contributor.advisorPearce, John A., 1946-en
dc.creatorPorterfield, John Edwarden
dc.date.accessioned2011-08-02T15:06:48Zen
dc.date.available2011-08-02T15:06:48Zen
dc.date.issued2010-05en
dc.date.submittedMay 2010en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2010-05-858en
dc.descriptiontexten
dc.description.abstractImpedance has been used as a tool for cardiac research since the early 1940’s. Recently there have been many advances in this field in the diagnosis of human heart failure through the measurement of pacemaker and ICD coupled impedance detection to determine the state of pulmonary edema in patients through drops in lung impedance. These new detection methods are far downstream of the initial changes in physiology, which signify heart failure risk, namely, an increased left ventricular (LV) end-diastolic volume (also known as preload). This dissertation presents the first formal validation of the complex admittance technique for more accurate blood volume measurement in vivo in mice. It aims to determine a new configuration of admittance measurement in a large scale animal model (pigs). It also aims to prove that “piggybacking” an admittance measurement system onto previously implanted AICD and bi-ventricular pacemakers is a feasible and practical measurement that will serve as an early warning system for impending heart failure through the measurement of LV preload, which appears before the currently measured drop in lung impedance using previous techniques.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectAdmittanceen
dc.subjectHeart failureen
dc.subjectDiagnosisen
dc.subjectImpedanceen
dc.subjectBlood volumeen
dc.subjectBiomedical engineeringen
dc.titleAdmittance measurement for early detection of congestive heart failureen
dc.date.updated2011-08-02T15:07:22Zen
dc.identifier.slug2152/ETD-UT-2010-05-858en
dc.contributor.committeeMemberValvano, Jonathan W.en
dc.contributor.committeeMemberYilmaz, Alien
dc.contributor.committeeMemberRylander, Henry G.en
dc.contributor.committeeMemberFeldman, Marc D.en
dc.description.departmentElectrical and Computer Engineeringen
dc.type.genrethesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen


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