期刊
BIOSENSORS & BIOELECTRONICS
卷 178, 期 -, 页码 -出版社
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2021.113007
关键词
Wireless; Battery-free; Sensors; Biosignals; Therapeutics; Diagnostics
类别
资金
- department of Biomedical Engineering at the University of Arizona
- Flinn Foundation Translational Bioscience Seed Grants Pilot Program
- National Institutes of Health [1R01NS112535-01]
Recent progress in biosensors has greatly expanded capabilities in research, diagnostics, and treatment, with machine learning and artificial intelligence playing a significant role. The importance of integrated and chronic sensing solutions has become increasingly evident, emphasizing the need for wireless and battery-free platforms for continuous biosignal collection.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据