An Implantable Antenna Design Optimized Using PSO Algorithm

People suffering from chronic diseases like diabetes, heart disease, and Parkinson’s disease are reliant on their implantable devices to improve their quality of life and to manage their chronic conditions. Despite their advantages, some systems are battery-powered, which can lead to battery failure, resulting in prophylactic surgery. One solution to this issue is an implantable antenna that provides an adequate link margin across various skin sites. In this study, we introduce an implantable antenna design optimized using an open-source PSO algorithm. The antenna is a tunable WMTS-motivated design fabricated on a Rogers 6010.2 substrate and evaluated by simulation and in vitro testing using phantom tissues. Validation measurements are performed to evaluate the effects of implantation depth across various adipose thicknesses.

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Publication Details

Journal
AI
Published
2026-02-01
DOI
https://doi.org/10.3390/ai7020047
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
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article

An Implantable Antenna Design Optimized Using PSO Algorithm

Lauren Linkous, Michael Suche, Michael P. Nguyen, Ryan B. Green
AI
Wireless Body Area Networks
article

An Implantable Antenna Design Optimized Using PSO Algorithm

Lauren Linkous, Michael Suche, Michael P. Nguyen, Ryan B. Green
article en

Abstract

People suffering from chronic diseases like diabetes, heart disease, and Parkinson’s disease are reliant on their implantable devices to improve their quality of life and to manage their chronic conditions. Despite their advantages, some systems are battery-powered, which can lead to battery failure, resulting in prophylactic surgery. One solution to this issue is an implantable antenna that provides an adequate link margin across various skin sites. In this study, we introduce an implantable antenna design optimized using an open-source PSO algorithm. The antenna is a tunable WMTS-motivated design fabricated on a Rogers 6010.2 substrate and evaluated by simulation and in vitro testing using phantom tissues. Validation measurements are performed to evaluate the effects of implantation depth across various adipose thicknesses.

AIVol. 7(2)
Virginia Commonwealth University (US), Mississippi State University (US)
Good health and well-being
Openalex Percentile: Top 71%
Wireless Body Area Networks
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