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Classification of scattering parameters of body-embedded wideband textile antennas for early diagnosis and monitoring of breast cancer

Published online by Cambridge University Press:  23 March 2022

Nirmalya Das ,
Banani Basu Open the ORCID record for Banani Basu [Opens in a new window] ,
Sagar Dutta  and
Arnab Nandi Open the ORCID record for Arnab Nandi [Opens in a new window]
Nirmalya Das
Affiliation:
National Institute of Technology Silchar, Silchar, Assam 788010, India
Banani Basu*
Affiliation:
National Institute of Technology Silchar, Silchar, Assam 788010, India
Sagar Dutta
Affiliation:
National Institute of Technology Silchar, Silchar, Assam 788010, India
Arnab Nandi
Affiliation:
National Institute of Technology Silchar, Silchar, Assam 788010, India
*
Author for correspondence: Banani Basu, banani@ece.nits.ac.in
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Abstract

In this paper, we propose a machine-based classification technique using the scattering parameters obtained using a wearable wideband textile antenna to diagnose breast tumors. The breast phantom is formed following the dielectric properties of the human breast tissues and characterized to ensure the resemblance with a actual tissue model for the range of frequencies from 3 to 10 GHz. A biocompatible textile antenna is fabricated and embedded on an artificial breast phantom model to capture the variation of the reflection coefficient S11 and the transmission coefficient S21 for frequencies 3–10 GHz for different locations and sizes of tumors within the phantom model. Support vector machine is used to classify the healthy tissues from the malignant tumors based on the variation of the scattering parameters owing to the variation of the dielectric characteristics of the breast phantom model. The proposed method offers 84% and 89% accuracy while using S11 and S21 parameters alone for the analysis. However, the results further improve up to 93% as a combination of S11 and S21 signals is considered.

Keywords

Breast cancerscattering parametersclassificationwideband textile antenna
Type
Biomedical Applications
Information
International Journal of Microwave and Wireless Technologies , Volume 15 , Issue 2 , March 2023 , pp. 236 - 244
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press in association with the European Microwave Association

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