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Effect of thickness inhomogeneity in fat tissue on in-body microwave propagation
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.ORCID iD: 0000-0002-6899-1424
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.ORCID iD: 0000-0001-5956-0713
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.ORCID iD: 0000-0002-5796-9838
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.ORCID iD: 0000-0003-4821-8087
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2018 (English)In: 2018 IEEE International Microwave Biomedical Conference (IMBioC), Philadelphia, USA: IEEE, 2018, p. 136-138Conference paper, Published paper (Refereed)
Abstract [en]

In recent studies, it has been found that fat tissue can be used as a microwave communication channel. In this article, the effect of thickness inhomogeneities in fat tissues on the performance of in-body microwave communication at 2.45 GHz is investigated using phantom models. We considered two models namely concave and convex geometrical fat distribution to account for the thickness inhomogeneities. The thickness of the fat tissue is varied from 5 mm to 45 mm and the Gap between the transmitter/receiver and the starting and ending of concavity/convexity is varied from 0 mm to 25 mm for a length of 100 mm to study the behavior in the microwave propagation. The phantoms of different geometries, concave and convex, are used in this work to validate the numerical studies. It was noticed that the convex model exhibited higher signal coupling by an amount of 1 dB (simulation) and 2 dB (measurement) compared to the concave model. From the study, it was observed that the signal transmission improves up to 30 mm thick fat and reaches a plateau when the thickness is increased further.

Place, publisher, year, edition, pages
Philadelphia, USA: IEEE, 2018. p. 136-138
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Signal Processing
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URN: urn:nbn:se:uu:diva-393442DOI: 10.1109/IMBIOC.2018.8428872ISBN: 978-1-5386-5918-2 (electronic)OAI: oai:DiVA.org:uu-393442DiVA, id: diva2:1353287
Conference
2018 IEEE International Microwave Biomedical Conference (IMBioC, 14-15 June 2018, Philadelphia, USA
Available from: 2019-09-22 Created: 2019-09-22 Last updated: 2019-10-10Bibliographically approved
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Asan, Noor BadariahVelander, JacobRedzwan, SyaifulPerez, Mauricio D.Voigt, ThiemoAugustine, Robin
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