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Synapse
February 2, 20260 citationsOpen Access

An Implantable Antenna Design Optimized Using PSO Algorithm

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MNMichael P. NguyenLLLauren LinkousMSMichael Suche

Key Points

  • The central aim is to enhance implantable antenna performance for improving chronic disease management.
  • Designed an implantable antenna using an open-source PSO algorithm.
  • Fabricated the antenna on a Rogers 6010.2 substrate.
  • Conducted simulation and in vitro testing using phantom tissues.
  • Performed validation measurements focusing on implantation depth and adipose thickness.
  • Achieved an adequate link margin across various skin sites.
  • Validated the antenna's performance against different adipose thicknesses.

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.

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Cite This Study

Nguyen et al. (2026) studied this question.

synapsesocial.com/papers/6981020cc1c9540dea8133bbhttps://doi.org/10.3390/ai7020047
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