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An Implantable Antenna Design Optimized Using PSO Algorithm
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AI
DOI：10.3390/ai7020047.png)
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摘要
En 中文
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.
Keyword:
implantable antenna
particle swarm optimization (PSO)
antenna minimization
in vitro testing
human tissue phantom
implantable medical device (IMD)
wireless medical telemetry service (WMTS)
期刊
A
IF:
5
论文数:
1.1K
被引数:
1.8K
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