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Design of a microwave sensor for non-invasive blood glucose monitoring.

Show simple item record Bteich, Moussa Semaan, 2020-03-28T17:18:22Z 2022-04 2020-03-28T17:18:22Z 2019 2019
dc.identifier.other b23460982
dc.description Thesis. M.E. American University of Beirut. Department of Electrical and Computer Engineering, 2019. ET:6963.
dc.description Advisor : Prof. Joseph Costantine, Associate Professor, Electrical and Computer Engineering ; Co-advisor : Prof. Rouwaida Kanj, Assistant Professor, Electrical and Computer Engineering ; Committee members : Prof. Zaher Dawy, Professor, Electrical and Computer Engineering ; Prof. Youssef Tawk, Assistant Professor, Electrical and Computer Engineering ; Prof. Assaad Eid, Associate Professor, Anatomy, Cell Biology and Physiological Sciences ; Prof. Ali Ramadan, Assistant Professor, Electrical Engineering, Fahad Bin Sultan University, Tabuk, KSA.
dc.description Includes bibliographical references (leaves 107-112)
dc.description.abstract Diabetes is one of the most prevalent chronic diseases. The exponential rate of increase in the number of diabetics urged researchers to search for new methods of measuring blood glucose continuously and non-invasively. The ability of microwave devices to extract the electrical parameters of material accurately and without direct contact, makes them ideal for measuring glucose concentrations non-invasively. Therefore, since the past decade, a lot of research work has focused on designing microwave sensors that are capable of sensing the variation of glucose in blood. Although some of the proposed devices have shown good sensitivity, however none of them is accurate enough to replace the currently used glucometers. This thesis addresses the design of non-invasive glucose sensors by relying on microwave based components. Hence, the design of various types of radio frequency (RF) circuits is presented to tackle this challenge. The behavior of the proposed RF circuits as glucose sensing systems is tested using simulation in addition to in-vitro, ex-vivo and in-vivo studies. A good correlation between the scattering parameters of proposed sensors and the variations in glucose levels is attained. Several regression models are also developed and applied on the collected data, where a selection of the optimal model with the least prediction error is identified. Examined results using the Clarke error grid demonstrate that 100percent of the predicted glucose levels lie within the clinically acceptable regions for the various proposed sensors.
dc.format.extent 1 online resource (xix, 112 leaves) : illustrations
dc.language.iso eng
dc.subject.classification ET:006963
dc.subject.lcsh Radio frequency.
dc.subject.lcsh Microwaves.
dc.subject.lcsh Biosensors.
dc.subject.lcsh Regression analysis.
dc.subject.lcsh Blood sugar monitoring.
dc.subject.lcsh Diabetes.
dc.title Design of a microwave sensor for non-invasive blood glucose monitoring.
dc.type z
dc.contributor.department Maroun Semaan Faculty of Engineering and Architecture.
dc.contributor.department Department of Electrical and Computer Engineering,
dc.subject.classificationsource AUBNO
dc.contributor.institution American University of Beirut.

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