可穿戴计算机
面罩
可穿戴技术
计算机科学
面子(社会学概念)
人机交互
2019年冠状病毒病(COVID-19)
嵌入式系统
医学
社会科学
疾病
病理
社会学
传染病(医学专业)
作者
Yongchao Song,Xiyan Wang,Lirong Wang,Lijun Qu,Xueji Zhang
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2024-09-19
被引量:3
标识
DOI:10.1021/acssensors.4c01705
摘要
Wearable sensors provide continuous physiological information and measure deviations from healthy baselines, resulting in the potential to personalize health management and diagnosis of diseases. With the emergence of the COVID-19 pandemic, functionalized face masks as smart wearable sensors for multimodal and/or multiplexed measurement of physical parameters and biochemical markers have become the general population for physiological health management and environmental pollution monitoring. This Review examines recent advances in applications of smart face masks based on implantation of digital technologies and electronics and focuses on respiratory monitoring applications with the advantages of autonomous flow driving, enrichment enhancement, real-time monitoring, diversified sensing, and easily accessible. In particular, the detailed introduction of diverse respiratory signals including physical, inhalational, and exhalant signals and corresponding associations of health management and environmental pollution is presented. In the end, we also provide a personal perspective on future research directions and the remaining challenges in the commercialization of smart functionalized face masks for multiple sensing.
科研通智能强力驱动
Strongly Powered by AbleSci AI