Smart fiber-optic masks:real-time respiratory monitoring and health analysis  

作　　者：Qi YU Ya-Nan ZHANG Jiaqi ZHANG Shuang YANG Lingxiao JIANG Xuegang LI 

机构地区：[1]College of Information Science and Engineering,Northeastern University,Shenyang 110819,China [2]State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819 China [3]Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology,Qinhuangdao 066004,China [4]Affiliated Hospital of North Sichuan Medical College,Nanchong 637000,China

出　　处：《Science China(Information Sciences)》2025年第4期212-223,共12页中国科学(信息科学)(英文版)

基　　金：supported in part by National Natural Science Foundation of China(Grant Nos.62222504,62475040,62375045);Liaoning Revitalization Talents Program(Grant No.XLYC2203125);Natural Science Foundation of Liaoning Province(Grant No.2023021199-JH26/103)。

摘　　要：In this study,we design a smart mask based on an ultrathin retractable flexible fiber optic sensor with high sensitivity(0.56 V/m-1),ultra-light mass(0.24 g),and excellent tensile properties.The sensor was integrated with a medical mask to recognize multiple breathing patterns(standard,fast,slow,shallow,deep,breath-holding),coughing,and speaking,as well as to study gender characteristics and physiological differences in the respiratory system.By comparing the nasal-oral respiratory waveforms and frequencies,guidance for respiratory correction was provided.In addition,affixing flexible fiber optic sensors to the outside of the mask reduces the risk of cross-infection and significantly reduces temperature and humidity disturbances.Studies have shown that nine sensor locations placed on the outside of the mask responded significantly to respiratory waveforms.For personalized health management,the system is also equipped with a communication module,web and mobile apps to support data downloads,real-time monitoring,and exception alerts.

关 键 词：smart mask respiratory monitoring fiber optic sensor health management ANTI-INTERFERENCE 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]