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ToolsKhattak, Riqza Y., Ahmed, Qasim Z., Shoaib, Sultan, Lazaridis, Pavlos I. and Alade, Temitope T. (2024) Recent advances in antennas for biotelemetry and healthcare applications. IEEE Open Journal of Antennas and Propagation, 5 (6). pp. 1499-1522. ISSN 2637-6431
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Abstract
This paper provides a detailed examination of recent advancements in antenna design tailored specifically tailored for applications in biotelemetry and healthcare. It contains a detailed analysis of over 60 journal papers retrieved from the Institute of Electrical and Electronics Engineers (IEEE) database within the past five years. Each paper is briefly discussed, emphasizing its simulation and/or practical results. Furthermore, the paper draws conclusions based on various performance parameters, highlighting key shortcomings in existing literature designs, and identifying prerequisites for future high-performance antennas. Finally, the paper proposes a new antenna design positioned to surpass most of the antennas discussed herein. Tailored for the 5.8 GHz industrial, scientific, and medical (ISM) band, the proposed antenna boasts a compact footprint of 7.7 x 6 mm². The antenna possesses noteworthy performance metrics including a mean gain of 1.2 dB and an efficiency exceeding 51% when in direct contact with a body.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Information: This work was supported in part by the Department of Engineering and Technology, School of Computing and Engineering, University of Huddersfield, U.K., and in part by the Erasmus+ programme of the European Union through the Capacity building for Digital Health Monitoring and Care Systems in Asia (DigiHealth-Asia), 2021 2024 Project under Agreement 619193-EPP-1-2020-1-BE-EPPKA2-CBHE-JP. |
| Uncontrolled Keywords: | implantable antennas,digital health,in–body and on–body antenna,in body and on body antenna,digital health,in†body and on†body antenna,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/2200/2208 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 24 Sep 2024 12:56 |
| Last Modified: | 12 Dec 2024 01:53 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/96799 |
| DOI: | 10.1109/OJAP.2024.3462289 |
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