(Peer-Reviewed) Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification
Wenbo Li ¹ ², Yukun Long ² ³, Yingyin Yan ⁴, Kun Xiao ⁴, Zhuo Wang 王茁 ⁴, Di Zheng 郑狄 ¹, Arnaldo Leal-Junior ⁵ ⁶, Santosh Kumar ⁷, Beatriz Ortega ⁸, Carlos Marques ⁹ ¹⁰, Xiaoli Li 李小俚 ² ³ ¹¹, Rui Min 闵锐 ² ³ ¹¹
¹ Center for Information Photonics and Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China
中国 成都 西南交通大学 信息科学与技术学院 信息光子与通信研究中心
² Department of Psychology, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China
中国 珠海 北京师范大学文理学院心理系
³ Faculty of Psychology, Beijing Normal University, Beijing 100875, China
中国 北京 北京师范大学心理学部
⁴ Department of Physics, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China
中国 珠海 北京师范大学文理学院 物理系
⁵ Graduate Program in Electrical Engineering, Federal University of Espírito Santo, Fernando Ferrari Avenue, Vitoria 29075-910, Brazil
⁶ Department of Cybernetics and Biomedical Engineering, VSB—Technical University of Ostrava, Ostrava, Czech Republic
⁷ Centre of Excellence for Nanotechnology, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh-522302, India
⁸ ITEAM Research Institute, Universitat Politècnica de València, Valencia 46022, Spain
⁹ CICECO-Aveiro Institute of Materials, Physics Department, University of Aveiro, Aveiro 3810-193, Portugal
¹⁰ .Department of Physics, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic
¹¹ Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China
中国 珠海 北京师范大学认知神经科学与学习国家重点实验室
Opto-Electronic Advances, 2025-05-27
Abstract
Personalized health services are of paramount importance for the treatment and prevention of cardiorespiratory diseases, such as hypertension. The assessment of cardiorespiratory function and biometric identification (ID) is crucial for the effectiveness of such personalized health services.
To effectively and accurately monitor pulse wave signals, thus achieving the assessment of cardiorespiratory function, a wearable photonic smart wristband based on an all-polymer sensing unit (All-PSU) is proposed. The smart wristband enables the assessment of cardiorespiratory function by continuously monitoring respiratory rate (RR), heart rate (HR), and blood pressure (BP). Furthermore, it can be utilized for biometric ID purposes. Through the analysis of pulse wave signals using power spectral density (PSD), accurate monitoring of RR and HR is achieved.
Additionally, utilizing peak detection algorithms for feature extraction from pulse signals and subsequently employing a variety of machine learning methods, accurate BP monitoring and biometric ID have been realized. For biometric ID, the accuracy rate is 98.55%. Aiming to monitor RR, HR, BP, and ID, our solution demonstrates advantages in integration, functionality, and monitoring precision.
These enhancements may contribute to the development of personalized health services aimed at the treatment and prevention of cardiorespiratory diseases.
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Hongyu Zhou, Chao Zhang, Hengchang Nong, Junjie Weng, Dongying Wang, Yang Yu, Jianfa Zhang, Chaofan Zhang, Jinran Yu, Zhaojian Zhang, Huan Chen, Zhenrong Zhang, Junbo Yang
Opto-Electronic Advances
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