Graphene-Based Sensors for Human Health Monitoring
- 1Nano-Pico Center, School of Electronic Science and Engineering, Southeast University, China
- 2Center for Advanced Materials and Manufacture, Southeast University-Monash University Joint Research Institute, China
- 3Center for Advanced Carbon Materials Southeast University and Jiangnan Graphene Research Institute, China
Since the desire for real-time human health monitoring as well as seamless human-machine interaction increasing rapidly, plenty of research effort has been made to investigate wearable sensors and implantable devices in recent years. As a novel 2D material, graphene has aroused a boom in the field of sensor research around the world due to its advantages in mechanical, thermal, and electrical properties. There have been lots of graphene-based sensors for human health monitoring reported, including wearable sensors, as well as implantable devices, which can realize the real-time measurement of body temperature, heart rate, pulse oxygenation, respiration rate, blood pressure, blood glucose, electrocardiogram signal, electromyogram signal and electroencephalograph signal, etc. Herein, as a review of the latest graphene-based sensors for health monitoring, their novel structures, sensing mechanisms, technological innovations, components for sensor systems and potential challenges will be discussed and outlined.
Keywords: Graphene, Sensors, health monitoring, invasive, non-invasive, wearable
Received: 04 Apr 2019;
Accepted: 17 May 2019.
Edited by:Yang Zhao, University of Michigan, United States
Reviewed by:Ziyu Wang, Wuhan University, China
Chuangang Hu, Case Comprehensive Cancer Center, Case Western Reserve University, United States
Copyright: © 2019 Huang, Su, Wu, Wan, Wan, Bi and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Prof. Shi Su, Nano-Pico Center, School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu Province, China, firstname.lastname@example.org
Prof. Litao Sun, Nano-Pico Center, School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu Province, China, email@example.com