Wireless and Multi‐Person Respiration Monitoring using Facemask‐Integrated Flexible Meta‐Antennas

Author:

Zheng Zongliang1ORCID,Xu Jiabin1,Li Zhipeng2,Wu Xu1,Wang Chengliang1,Yin Ping1,Zou Yuanhong1,Zhang Yuhang1,Zhou Zhenkai1,Gan Gongwen1,Jia Shuyue1,Zhang Jingkai1,Qiu Cheng‐Wei2,Zhang Qing3

Affiliation:

1. School of Information Science and Technology Southwest Jiaotong University Chengdu 611756 P. R. China

2. Department of Electrical and Computer Engineering National University of Singapore Singapore 117583 Singapore

3. School of Physics University of Electronic Science and Technology of China Chengdu 611731 P. R. China

Abstract

AbstractRespiration monitoring of a large population is important in containing the spread of viral respiratory infections such as the coronavirus disease 2019 (COVID‐19). Current technologies, however, lack the ability in respiration monitoring of multiple human subjects in a long‐term, robust, and low‐cost manner. Herein, wireless respiration monitoring of multiple human subjects using facemask‐integrated flexible meta‐antennas is demonstrated. The flexible meta‐antenna has an architecture of multi‐layered anisotropic hole‐array, which is optimized by theory and simulations to achieve high performances including good antenna gain, robustness against body interferences, and high air permeability favorable for facemask integration. A person's respiration patterns and respiration rates are wirelessly obtained by the meta‐antenna integrated with a temperature‐sensor‐embedded chip. Respiration monitoring of multiple subjects in long range and long term during daily activities is simultaneously demonstrated. In addition, a real‐time data processing system is introduced in which a local server, a cloud server, and an application layer are implemented for the real‐time display of respiration patterns and automatic recognition of abnormal status. The design of flexible meta‐antennas may lead to a distinct class of physiological sensors over a large population for applications in pandemic control and personalized healthcare.

Funder

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Mechanics of Materials,General Materials Science

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