基于微凝胶的电磁纳米传感器网络用于血糖监测

IF 4.5 1区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Zheng Gong;Xiang Chen;Shanaz X. Chen;Jun Hu;Yifan Chen
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引用次数: 0

摘要

电磁纳米传感器网络(ENSN)是一种创新的技术概念,专注于利用微波和毫米波等电磁技术进行先进的生物医学应用。ENSNs能够通过电磁辐射对感兴趣的现象(POI)进行高灵敏度检测。ensn由相互连接的纳米级传感器组成,这些传感器利用电磁原理感知和交流体内有用的低水平生理信号。本文介绍了一种基于微凝胶的微波血糖监测新方法,其研究贡献可以概括为两个方面。首先,研制了一种新型的微环境敏感微凝胶传感器(MBS),并对材料的介电常数进行了全面表征。相应的模型为微凝胶潜在的生物医学应用提供了重要的见解。其次,提出了一种面向微凝胶的ENSN系统,以实现人体生理信号的采集,包括制造的植入和外部传感器(即mbs和天线)、相关电路和小型化的信号收发器。此外,提出了一种基于机器学习的新型感知策略,用于使用多对传感器进行准确的疾病特征识别,该策略包括差分感知步骤以消除由于组织异质性引起的不必要干扰,以及数据融合步骤以提高系统可靠性。为了验证所提出的ENSN,研究了将血糖分为高血糖和低血糖的可行性。通过结合微凝胶传感器,该系统显著优于仅使用外部电磁传感器的传统微波医学传感(MMS)方法,在数值和实验分类性能上分别提高了46%和53%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microgels-Based Electromagnetic Nanosensor Network for Blood Glucose Monitoring
Electromagnetic nanosensor network (ENSN) is an innovative technological concept that focuses on using electromagnetic technologies like microwaves and millimeter-waves for advanced biomedical applications. ENSNs enable highly sensitive detection of a phenomenon of interest (POI) through electromagnetic radiation. ENSNs are composed of interconnected nanoscale sensors that utilize electromagnetic principles to sense and communicate useful low-level physiological signals within the body. This article presents a novel microgels-based ENSN for microwave glucose monitoring, and the research contributions can be summarized into two main aspects. First, a new type of microgel-based sensor (MBS) sensitive to microenvironmental conditions is manufactured, and a comprehensive material characterization of dielectric constant is performed. The corresponding models provide critical insights into the potential biomedical applications of the microgels. Second, a microgels-oriented ENSN system is proposed to enable the acquisition of human physiological signals, including manufactured implantable and external sensors (i.e., MBSs and antennas), related circuits, and miniaturized signal transceivers. Moreover, a novel sensing strategy based on machine learning is proposed for accurate disease feature recognition using multiple pairs of sensors, which includes a differential sensing step to eliminate unwanted interference due to tissue heterogeneity and a data fusion step to improve system reliability. To verify the proposed ENSN, the feasibility of classifying blood glucose between hyperglycemia and hypoglycemia is investigated. By incorporating the microgels-based sensor, the proposed system significantly outperforms traditional microwave medical sensing (MMS) methods using only the external electromagnetic sensor (EMS), achieving remarkable 46% and 53% improvements in numerical and experimental classification performance.
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来源期刊
IEEE Transactions on Microwave Theory and Techniques
IEEE Transactions on Microwave Theory and Techniques 工程技术-工程:电子与电气
CiteScore
8.60
自引率
18.60%
发文量
486
审稿时长
6 months
期刊介绍: The IEEE Transactions on Microwave Theory and Techniques focuses on that part of engineering and theory associated with microwave/millimeter-wave components, devices, circuits, and systems involving the generation, modulation, demodulation, control, transmission, and detection of microwave signals. This includes scientific, technical, and industrial, activities. Microwave theory and techniques relates to electromagnetic waves usually in the frequency region between a few MHz and a THz; other spectral regions and wave types are included within the scope of the Society whenever basic microwave theory and techniques can yield useful results. Generally, this occurs in the theory of wave propagation in structures with dimensions comparable to a wavelength, and in the related techniques for analysis and design.
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