Wireless and battery-free platforms for collection of biosignals.
Wireless and battery-free platforms for collection of biosignals.
复制标题
用于收集生物信号的无线和无电池平台。
DOI：
10.1016/j.bios.2021.113007
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发表时间：
2021-04-15
影响因子：
12.6
通讯作者：
Gutruf P
中科院分区：
文献类型：
--
作者：
Stuart T;Cai L;Burton A;Gutruf P
生物传感器的最新进展在数量上扩展了探索性研究工具、诊断和治疗的现有能力。传感器发展的这种快速步伐由于机器学习和人工智能形式的数据分析方法的巨大改进而更加突出，这些方法共同承诺在生物信号的慢性感测方面提供绝佳的机会，以实现预防性筛选，自动诊断和个性化治疗策略的工具。与此同时，最近发生的COVID-19疫情等事件凸显了广泛使用个人监测的重要性。因此，在完全集成和慢性传感解决方案方面取得进展越来越重要。然而，长期操作对于需要频繁用户交互的系留方法或庞大的电池供电系统是不可能的。无线和无电池平台提供了解决这一集成挑战的解决方案，可以持续收集生物信号。本文综述了目前的方法来实现这样的设备架构，并讨论了他们的积木。具体地，在目标器官系统中最普遍的实现方式的背景下的电源、无线通信方法和兼容的感测模态。另外，我们强调了由于它们使用无线和无电池架构而定量地扩展感测能力的当前实施例的示例。
Recent progress in biosensors have quantitively expanded current capabilities in exploratory research tools, diagnostics and therapeutics. This rapid pace in sensor development has been accentuated by vast improvements in data analysis methods in the form of machine learning and artificial intelligence that, together, promise fantastic opportunities in chronic sensing of biosignals to enable preventative screening, automated diagnosis, and tools for personalized treatment strategies. At the same time, the importance of widely accessible personal monitoring has become evident by recent events such as the COVID-19 pandemic. Progress in fully integrated and chronic sensing solutions is therefore increasingly important. Chronic operation, however, is not truly possible with tethered approaches or bulky, battery-powered systems that require frequent user interaction. A solution for this integration challenge is offered by wireless and battery-free platforms that enable continuous collection of biosignals. This review summarizes current approaches to realize such device architectures and discusses their building blocks. Specifically, power supplies, wireless communication methods and compatible sensing modalities in the context of most prevalent implementations in target organ systems. Additionally, we highlight examples of current embodiments that quantitively expand sensing capabilities because of their use of wireless and battery-free architectures.
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影响因子：
3
作者：
Bin NR;Song H;Wu C;Lau M;Sugita S;Eubanks JH;Zhang L
通讯作者：
Zhang L
影响因子：
5.7
作者：
Barker, SJ
通讯作者：
Barker, SJ
影响因子：
28.1
作者：
Boutry, Clementine M.;Beker, Levent;Bao, Zhenan
通讯作者：
Bao, Zhenan
影响因子：
34.3
作者：
Bandodkar, A. J.;Lee, S. P.;Rogers, J. A.
通讯作者：
Rogers, J. A.
DOI：
10.3390/s151128889
发表时间：
2015-11-13
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Ben Amar A;Kouki AB;Cao H
通讯作者：
Cao H