Abstract

Wearable health sensors could monitor the wearer's health and surrounding environment in real-time. With the development of sensor and operating system hardware technology, the functions of wearable devices have been gradually enriched with more diversified forms and more accurate physiological indicators. These sensors are moving towards high precision, continuity, and comfort, making great contributions to improving personalized health care. At the same time, in the context of the rapid development of the Internet of Things, the ubiquitous regulatory capabilities have been released. Some sensor chips are equipped with data readout and signal conditioning circuits, and a wireless communication module for transmitting data to computer equipment. At the same time, for data analysis of wearable health sensors, most companies use artificial neural networks (ANN). In addition, artificial neural networks could help users effectively get relevant health feedback. Through the physiological response of the human body, various sensors worn could effectively transmit data to the control unit, which analyzes the data and provides feedback of the health value to the user through the computer. This is the working principle of wearable sensors for health. This article focuses on wearable biosensors used for healthcare monitoring in different situations, as well as the development, technology, business, ethics, and future of wearable sensors for health monitoring.

Details

Title
Reshaping healthcare with wearable biosensors
Author
Smith, Aaron Asael 1 ; Li, Rui 2 ; Tse, Zion Tsz Ho 3 

 University of Georgia, College of Engineering, Athens, USA (GRID:grid.213876.9) (ISNI:0000 0004 1936 738X) 
 New York University, Tandon School of Engineering, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753) 
 Queen Mary University of London, Department of Engineering and Material Science, London, UK (GRID:grid.4868.2) (ISNI:0000 0001 2171 1133) 
Pages
4998
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2791456172
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.