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体内通信 R 波段脂肪通道特性研究。

Characterization of the Fat Channel for Intra-Body Communication at R-Band Frequencies.

机构信息

Microwaves in Medical Engineering Group, Solid State Electronics, Department of Engineering Sciences, Ångström Laboratory, Uppsala University, P.O. Box 534, 751 21 Uppsala, Sweden.

Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka,Durian Tunggal 76100, Malaysia.

出版信息

Sensors (Basel). 2018 Aug 21;18(9):2752. doi: 10.3390/s18092752.

DOI:10.3390/s18092752
PMID:30134629
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6165426/
Abstract

In this paper, we investigate the use of fat tissue as a communication channel between in-body, implanted devices at R-band frequencies (1.7⁻2.6 GHz). The proposed fat channel is based on an anatomical model of the human body. We propose a novel probe that is optimized to efficiently radiate the R-band frequencies into the fat tissue. We use our probe to evaluate the path loss of the fat channel by studying the channel transmission coefficient over the R-band frequencies. We conduct extensive simulation studies and validate our results by experimentation on phantom and ex-vivo porcine tissue, with good agreement between simulations and experiments. We demonstrate a performance comparison between the fat channel and similar waveguide structures. Our characterization of the fat channel reveals propagation path loss of ∼0.7 dB and ∼1.9 dB per cm for phantom and ex-vivo porcine tissue, respectively. These results demonstrate that fat tissue can be used as a communication channel for high data rate intra-body networks.

摘要

本文研究了在 R 波段频率(1.7⁻2.6 GHz)下,将脂肪组织用作体内植入设备之间通信通道的方法。所提出的脂肪通道基于人体解剖模型。我们提出了一种新型探头,该探头经过优化,可将 R 波段频率高效辐射到脂肪组织中。我们使用探头通过研究 R 波段频率下的通道传输系数来评估脂肪通道的路径损耗。我们通过在体模和离体猪组织上进行广泛的仿真研究和实验验证,仿真和实验结果吻合良好。我们还对脂肪通道和类似波导结构进行了性能比较。我们对脂肪通道的特性分析表明,对于体模和离体猪组织,其传播路径损耗分别约为 0.7 dB 和 1.9 dB/cm。这些结果表明,脂肪组织可用作体内高数据率网络的通信通道。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bb/6165426/67d2deaf3f3c/sensors-18-02752-g016.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31bb/6165426/728de312a319/sensors-18-02752-g010.jpg
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