A Compact Millimeter-Wave IoT Antenna Array for High-Precision Biomedical Imaging and Non-Invasive Tumor Localization Systems

Authors

  • Axmadjan Ashurmetov Associate Professor of the Department of General Surgery No.3, Tashkent State Medical University, Tashkent, Uzbekistan https://orcid.org/0000-0001-8832-017X
  • Palvanov Shukhrat Gayrat ugli Department of Data Transmission Networks and Systems, Urgench state university named after Abu Rayhan Biruni, Urgench, 220100, Uzbekistan https://orcid.org/0009-0004-6994-5712
  • Eshkobilov Ozodbek Department of basic medical sciences Faculty of Medicine, Termez University of Economics and Service, Termez, Uzbekistan https://orcid.org/0009-0007-5432-6179
  • Sapaev Bayramdurdi Professor, Pharmaceuticals and Chemistry, Faculty of Medicine, Alfraganus University, Tashkent, Uzbekistan https://orcid.org/0009-0008-0418-4122
  • Fayzullokh Sattoriy Kimyo international university in Tashkent, Shota Rustaveli street 156, 100121, Тashkent, Uzbekistan https://orcid.org/0000-0001-8263-9147
  • G.Murali Associate Professor, Department of Biomedical Engineering, Vinayaka Mission's Kirupananda Variyar Engineering College, Salem (Vinayaka Missions Research Foundation), Tamilnadu, India. https://orcid.org/0000-0002-3327-5655
  • N.Aishwarya Assistant Professor, Department of Electrical and Electronics Engineering Vinayaka Mission`s Kirupananda Variyar Engineering College, Salem (Vinayaka Mission`s Research Foundation), Tamilnadu, India. https://orcid.org/0009-0004-1054-0905

DOI:

https://doi.org/10.31838/NJAP/07.03.27

Keywords:

mmWave biomedical imaging, IoT antenna array, tumor localization, 5G health systems, phased array, non-invasive diagnostics

Abstract

The Biomedical imaging of mmWave biomedical imaging has become a helpful modality in non-invasive tumour detection because it can penetrate the biological tissue at a high spatial resolution and low ionizing exposure. Nevertheless, current mmWave antennas to be used in biomedical imaging are typically constrained by size, efficiency, bandwidth, and interconnectibility with IoT-enabled clinical systems. The article introduces a miniature 28-38 GHz IoT-based antenna array intended to be utilised in the cases of high-resolution biomedical imaging and non-invasive cancer localization. The array proposed has wide impedance bandwidth, high gain, and stable radiation characteristics under tissue loading using a hybrid substrate-integrated stacked array with the proposed folded-slot and parasitic patch arrangement. A phased array architecture approach of 4x1 mmWave is optimised to provide depth-adaptive beam steering to achieve higher accuracy of tumor localization. The antenna is embedded with a layer of IoT telemetry that can be used to provide real time image reconstruction, cloud-based diagnostics and remote monitoring. EM simulations, tissue phantom tests, and beam-scanning tests demonstrate a peak gain of 11.4 dBi, 34% (27.5 -38.2 GHz) bandwidth, and imaging resolution of less than 4 mm. Tests on multilayer phantoms of localization of tumors demonstrate an experimental error of less than 2.1 mm. Safety tests confirm that SAR levels are within the IEEE/IEC limits. The test results showed that mmWave IoT antenna arrays can be used as an effective instrument of portable biomedical imaging, early cancer diagnosis and digital healthcare testing.

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Published

2025-11-12

Issue

Vol. 7 No. 3 (2025): NJAP

Section

Articles

How to Cite

Axmadjan Ashurmetov, Palvanov Shukhrat Gayrat ugli, Eshkobilov Ozodbek, Sapaev Bayramdurdi, Fayzullokh Sattoriy, G.Murali, & N.Aishwarya. (2025). A Compact Millimeter-Wave IoT Antenna Array for High-Precision Biomedical Imaging and Non-Invasive Tumor Localization Systems. National Journal of Antennas and Propagation, 7(3), 212-218. https://doi.org/10.31838/NJAP/07.03.27

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