Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Realistic 3D Phantoms for Validation of Microwave Sensing in Health Monitoring Applications

Mariella Särestöniemi
* ORCID logo ,
Daljeet Singh
,
Rakshita Dessai
,
Charline Heredia
,
Sami Myllymäki
ORCID logo ,
Teemu Myllylä
Version 1 : Received: 12 January 2024 / Approved: 15 January 2024 / Online: 15 January 2024 (08:25:41 CET)

A peer-reviewed article of this Preprint also exists.

Särestöniemi, M.; Singh, D.; Dessai, R.; Heredia, C.; Myllymäki, S.; Myllylä, T. Realistic 3D Phantoms for Validation of Microwave Sensing in Health Monitoring Applications. Sensors 2024, 24, 1975. Särestöniemi, M.; Singh, D.; Dessai, R.; Heredia, C.; Myllymäki, S.; Myllylä, T. Realistic 3D Phantoms for Validation of Microwave Sensing in Health Monitoring Applications. Sensors 2024, 24, 1975.

Abstract

The development of new medical monitoring applications requires precise modeling of the human body effects as well as simulating and emulating realistic scenarios and conditions. The first aim of this paper is to develop realistic and adjustable human body 3D emulation platforms which could be used for evaluating emerging microwave-based medical monitoring/sensing applications such as the detection of brain tumors, strokes, breast cancers as well as for capsule endoscopy studies. The new phantom recipes are developed for microwave ranges for the realistic shaped phantom molds. The second aim is to validate the feasibility and reliability of the phantoms for practical scenarios with electromagnetic simulations using tissue layer models and biomedical antennas. The third aim is to investigate the impact of the water temperature in the phantom cooking phase on the dielectric properties of the stabilized phantom. The evaluations show that the dielectric properties of the developed phantoms correspond closely to those of real human tissue. The error in dielectric properties varies between 0.5-8%. In the practical scenario simulations, the differences obtained with phantoms-based simulations in S21 parameters are 0.1-13dB. However, the differences are smaller in the frequency ranges targeted for medical applications.

Keywords

digital twins for healthcare; medical monitoring; human tissue phantoms; microwave technology; phantom verification,

Subject

Engineering, Bioengineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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