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Implantable F-shaped antenna with 93.32 Mbps speed for Intra-body communications

  • Dipika Sagne ORCID logo EMAIL logo and Rashmi A. Pandhare
Published/Copyright: March 19, 2025
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Abstract

The on-body and implanted antenna’s communication is examined in this work. Short-range communication occurs within the human body during this kind of communication, which is sometimes referred to as intra-body communication (IBC). With on-body antenna compatibility, an implantable F-shaped antenna is made for intra-body communication. The effectiveness of the antenna was assessed using SAR analysis, radiation properties, reflection coefficient, and biocompatibility. A correlation between the transmitted signal from the implanted antenna and the received signal from the on-body antenna is determined, together with the intra-body communication fidelity factor and group latency. Furthermore, the link margin is established, and the implantable antenna allows high-speed data transfer at 93.32 Mbps with a 40 cm distance and a link margin of 20 dB between the implantable antenna and wearable antenna. With a gain of −24.8 dBi, the muscle layer’s impedance bandwidth is 24.7 % (2.31–2.79 GHz). In order to account for health concerns, the specific absorption rate (SAR) was determined. The outcome fell between the IEEE and the International Commission on Non-ionizing Radiation Protection’s standard bounds (ICNRP). A human body phantom made with skin-mimicking gel was used to test the suggested antenna. There was a strong correlation between the simulated and measured data.


Corresponding author: Dipika Sagne, Department of Electronics & Communication Engineering, Indian Institute of Information Technology (IIIT), Nagpur, India, E-mail:

Acknowledgments

The authors would like to acknowledge the Defense Institute of Technology, Pune (DIAT, Pune) for providing the characterization and measurement facilities.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/freq-2024-0151).


Received: 2024-05-10
Accepted: 2025-02-10
Published Online: 2025-03-19
Published in Print: 2025-06-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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