Smart photonic wristband for pulse wave monitoring  

作　　者：Renfei Kuang Zhuo Wang Lin Ma Heng Wang Qingming Chen Arnaldo Leal Junior Santosh Kumar Xiaoli Li Carlos Marques Rui Min 

机构地区：[1]Center for Cognition and Neuroergonomics,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Zhuhai 519087,China [2]College of Science,Shenyang Aerospace University,Shenyang 110136,China [3]School of Microelectronics Science and Technology,Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems,Sun Yat-Sen University,Zhuhai 519082,China [4]Graduate Program in Electrical Engineering,Federal University of Espírito Santo,Fernando Ferrari Avenue,Vitoria 29075-910,Brazil [5]Department of Electronics and Communication Engineering,Koneru Lakshmaiah Education Foundation,Vaddeswaram,Andhra Pradesh 522302,India [6]CICECO-Aveiro Institute of Materials,Physics Department,University of Aveiro,Aveiro 3810-193,Portugal

出　　处：《Opto-Electronic Science》2024年第12期12-27,共16页光电科学(英文)

基　　金：financial supports from National Key R&D Program of China (2022YFE0140400);National Natural Science Foundation of China(62003046, 62111530238);Guangdong Basic and Applied Basic Research Foundation (2021A1515011997);The Supplemental Funds for Major Scientific Research Projects of Beijing Normal University,Zhuhai(ZHPT2023007);Special project in key field of Guangdong Provincial Department of Education (2021ZDZX1050);The Innovation Team Project of Guangdong Provincial Department of Education (2021KCXTD014);Fundação para a Ciência e a Tecnologia (FCT) through the 2021.00667;CEECIND (iAqua project);PTDC/EEI-EEE/0415/2021 (DigiAqua project);The project i3N,UIDB/50025/2020 n&UIDP/50025/2020, financed by national funds through the FCT/MEC

摘　　要：Real-time acquisition of human pulse signals in daily life is clinically important for cardiovascular disease monitoring and diagnosis.Here,we propose a smart photonic wristband for pulse signal monitoring based on speckle pattern analysis with a polymer optical fiber(POF)integrated into a sports wristband.Several different speckle pattern processing algorithms and POFs with different core diameters were evaluated.The results indicated that the smart photonic wristband had a high signal-to-noise ratio and low latency,with the measurement error controlled at approximately 3.7%.This optimized pulse signal could be used for further medical diagnosis and was capable of objectively monitoring subtle pulse signal changes,such as the pulse waveform at different positions of Cunkou and pulse waveforms before and after exercise.With the assistance of artificial intelligence(AI),functions such as gesture recognition have been realized through the established prediction model by processing pulse signals,in which the recognition accuracy reaches 95%.Our AI-assisted smart photonic wristband has potential applications for clinical treatment of cardiovascular diseases and home monitoring,paving the way for medical Internet of Things-enabled smart systems.

关 键 词：smart healthcare specklegram pulse monitoring gesture recognition artificial intelligence wearable sensor 

分 类 号：TN2[电子电信—物理电子学]