一种可调谐可穿戴带抑制传感器,用于提高血糖监测灵敏度

M. Bteich, J. Costantine, R. Kanj, Y. Tawk, A. Ramadan, A. Eid
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引用次数: 0

摘要

本文提出了一种基于可调带抑制滤波器的无创血糖监测传感器。滤波器拓扑结构包括顶层的馈电网络,该馈电网络激励嵌入在地平面中的八个开环谐振器。谐振器的形状灵感来自于人体手臂的血管解剖结构。嵌入式谐振器被设计为在8个不同的频率上共振,以便跟踪1.5 GHz - 2.4 GHz频率范围内葡萄糖水平的变化。此外,滤波器的频率操作也通过依赖集成变容器来调整,以增强传感器对葡萄糖变化的动态响应。所提出的可调谐滤波器是制造和测试糖尿病大鼠,并在临床设置。所提出的传感器的散射参数与葡萄糖水平的变化之间存在高度的相关性。利用实验数据建立了高斯过程回归模型。结果表明,所提出的传感器检测葡萄糖变化的准确度达到98.55%,在临床可接受的性能范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Tunable Wearable Band Reject Sensor for Enhanced Glucose Monitoring Sensitivity
This paper presents a non-invasive glucose-monitoring sensor that is based on a tunable band reject filter. The filter topology comprises a feeding network at a top layer that excites eight open loop resonators embedded in the ground plane. The shape of the resonators is inspired by the vasculature anatomy of a human arm. The embedded resonators are designed to resonate at 8 different frequencies in order to track the variations of the glucose level across the 1.5 GHz - 2.4 GHz frequency span. Furthermore, the filter's frequency operation is also tuned by relying on integrated varactors in order to enhance the sensor's dynamic responsiveness to glucose variations. The proposed tunable filter is fabricated and tested on diabetic rats, and in a clinical setting. A high correlation between the scattering parameters of the proposed sensor and the variations in glucose levels is noted. A Gaussian Process regression model is also developed using data obtained from experiments. Results demonstrate that the proposed sensor detects glucose variation with an accuracy that reaches 98.55% well within clinically acceptable performance.
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