Graphene-based wearable sensors.

Clicks: 363
ID: 46858
2019
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Abstract
The human body is a "delicate machine" full of sensors such as the fingers, nose, and mouth. In addition, numerous physiological signals are being created every moment, which can reflect the condition of the body. The quality and the quantity of the physiological signals are important for diagnoses and the execution of therapies. Due to the incompact interface between the sensors and the skin, the signals obtained by commercial rigid sensors do not bond well with the body; this decreases the quality of the signal. To increase the quantity of the data, it is important to detect physiological signals in real time during daily life. In recent years, there has been an obvious trend of applying graphene devices with excellent performance (flexibility, biocompatibility, and electronic characters) in wearable systems. In this review, we will first provide an introduction about the different methods of synthesis of graphene, and then techniques for graphene patterning will be outlined. Moreover, wearable graphene sensors to detect mechanical, electrophysiological, fluid, and gas signals will be introduced. Finally, the challenges and prospects of wearable graphene devices will be discussed. Wearable graphene sensors can improve the quality and quantity of the physiological signals and have great potential for health-care and telemedicine in the future.
Reference Key
qiao2019graphenebasednanoscale Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Qiao, Yancong;Li, Xiaoshi;Hirtz, Thomas;Deng, Ge;Wei, Yuhong;Li, Mingrui;Ji, Shourui;Wu, Qi;Jian, Jinming;Wu, Fan;Shen, Yang;Tian, He;Yang, Yi;Ren, Tian-Ling;
Journal Nanoscale
Year 2019
DOI
10.1039/c9nr05532k
URL
Keywords
communication classification supervised machine learning patient care

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