University of Oulu

Särestöniemi, M., Dessai, R., Myllymäki, S., Myllylä, T. (2023). A Novel Durable Fat Tissue Phantom for Microwave Based Medical Monitoring Applications. In: Chen, Y., Yao, D., Nakano, T. (eds) Bio-inspired Information and Communications Technologies. BICT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-031-43135-7_16

A novel durable fat tissue phantom for microwave based medical monitoring applications

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Author: Särestöniemi, Mariella1,2; Dessai, Rakshita3; Myllymäki, Sami3;
Organizations: 1Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
2Centre for Wireless Communications, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
3Microelectronics laboratory, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
4Optoelectronics and Measurement Techniques Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe20231013140143
Language: English
Published: Springer Nature, 2023
Publish Date: 2024-09-25
Description:

Abstract

Human tissue mimicking phantoms allow development of realistic emulations platforms which are essential for design of several biomedical monitoring and diagnosis systems. This first aim of this paper is to present a novel and durable fat tissue phantom for lower microwave frequency ranges 2.5–10 GHz. The phantom is developed from the liquid propylene glycol (pure) which we found to have similar dielectric properties as the fat tissue and hence, it is suitable to be used as liquid fat phantom. Development steps of solid fat phantoms with different trials are presented to provide insight how each ingredient affect on the dielelctric properties of the mixture. Additionally, phantom’s stability over time in terms of dielectric and physical properties are evaluated. The second main aim of this paper is to present a novel approach to verify the feasibility and reliability of phantoms in practical scenarios with tissue layer model simulations. In the simulations, the antenna reflection coefficients are calculated with tissue layer models in which the dielectric properties of the fat tissue layer is varied between the proposed prolyne glycol -based fat phantoms as well as real human fat tissue values. Our goal is to show how small differences in the dielectric properties of the phantoms affect on a practical scenario which is based on antenna impedance measurements. The dielectric properties of the proposed fat phantom have very good correspondence with real fat tissue especially in the range of 5 GHz-10 GHz. Also, at lower ultrawide band (3.1–5 GHz), the difference in dielectric properties is minor. The layer model simulations show that the differences in dielectric properties do not have significant effect when modelling the practical scenarios in the frequency ranges targeted for medical applications. Hence the proposed liquid and solid fat phantoms are suitable to be used in the emulation platforms of biomedical applications.

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Series: Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
ISSN: 1867-8211
ISSN-E: 1867-822X
ISSN-L: 1867-8211
ISBN: 978-3-031-43135-7
ISBN Print: 978-3-031-43134-0
Volume: 512
Pages: 166 - 177
DOI: 10.1007/978-3-031-43135-7_16
OADOI: https://oadoi.org/10.1007/978-3-031-43135-7_16
Host publication: Bio-inspired Information and Communications Technologies : BICT 2023
Host publication editor: Chen, Yifan
Yao, Dezhong
Nakano, Tadashi
Conference: International Conference on Bio-inspired Information and Communication Technologies
Type of Publication: A4 Article in conference proceedings
Field of Science: 217 Medical engineering
Subjects:
Funding: This research is funded by Academy of Finland Profi6 funding, 6G-Enabling Sustainable Society (University of Oulu, Finland), which is greatly acknowledged.
Copyright information: © 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.