用于监测COVID-19和其他呼吸道疾病症状的软性可穿戴传感器:综述

Yuxuan Liu, Darpan Shukla, Holly Newman, Yong Zhu
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引用次数: 1

摘要

COVID-19大流行给医疗系统和更广泛的全球社会带来了巨大压力。由于医院系统负担过重,受感染患者的病情可能迅速恶化。这就迫切需要对生理参数进行实时和远程监测,以应对与COVID-19大流行相关的挑战。本综述将介绍可用于监测COVID-19等呼吸道疾病的软可穿戴传感器的最新进展。首先,综述了疾病控制与预防中心建议的可监测关键生理参数(如体温、呼吸速率、心率、氧饱和度和身体运动)的新兴监测设备和系统。然后,提出了由两个或多个相关传感器组成的多模态传感器系统。本文将对可穿戴传感器在呼吸系统疾病诊断和治疗方面面临的挑战和未来的发展方向进行总结。虽然本综述的重点是COVID-19,但综述的传感技术可适用于H1N1流感等其他呼吸道疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soft wearable sensors for monitoring symptoms of COVID-19 and other respiratory diseases: a review

The COVID-19 pandemic has put extraordinary stress on medical systems and global society more broadly. The condition of infected patients may deteriorate rapidly due to overburdened hospital systems. This raises an urgent need for real-time and remote monitoring of physiological parameters to address the challenges associated with the COVID-19 pandemic. This review will present recent progress on soft wearable sensors that can potentially be used for monitoring respiratory diseases such as COVID-19. First, emerging monitoring devices and systems that can monitor key physiological parameters as suggested by the Centers for Disease Control and Prevention (e.g. body temperature, respiration rate, heart rate, oxygen saturation and body movement) are reviewed. Then, multimodal sensor systems consisting of two or more correlative sensors are presented. This review will conclude with challenges and future directions for wearable sensors for the diagnosis and therapy of respiratory diseases. While this review focuses on COVID-19, the sensing technologies reviewed can be applicable to other respiratory diseases such as H1N1 influenza.

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