Optical microfiber intelligent watchband for cuffless blood pressure monitoring

IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Sensors and Actuators A-physical Pub Date : 2025-02-19 DOI:10.1016/j.sna.2025.116325
Jiaqi Chen , Yue Zhang , Bin Liu , Juan Liu , Hong Yang , Yingying Hu , Yue Fu , Qiang Wu
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Abstract

Hypertension is a very common chronic disease in people's lives, which increases the risk of cardiovascular disease. However, existing wearable continuous blood pressure monitoring devices have poor comfort, are susceptible to interference, rely on feature extraction for prediction, and have poor generalization ability between individuals, which hinders their application in continuous blood pressure monitoring. Here, we have developed a system based on optical microfiber intelligent watchband for cuffless blood pressure monitoring, which combines fiber optic sensor preparation, optical signal acquisition circuit integration, signal processing methods, and the construction of residual neural network 1D-ResNet to achieve wearable continuous monitoring of arterial dynamic blood pressure. By using single-mode micro fiber (SMMF) technology for 3D packaging, pulse signals can be quickly and accurately captured. The collection and data processing of pulse signals from 100 subjects, as well as model training, resulted in a Mean Error (ME) ± Standard Deviation (SD) of −0.43 ± 4.58 and −0.40 ± 2.77 mmHg for systolic blood pressure (SBP)and diastolic blood pressure (DBP), both in compliance with the standards of The Association for the Advancement of Medical Instrumentation (AAMI) and the British Hypertension Society (BHS). This preliminarily demonstrates the ability and versatility of SMMF wearable devices as reliable blood pressure measurement products.
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用于无袖带血压监测的光纤智能表带
高血压是人们生活中非常常见的慢性病,它增加了心血管疾病的发生风险。然而,现有的可穿戴式血压连续监测设备存在舒适度差、易受干扰、预测依赖特征提取、个体间泛化能力差等问题,阻碍了其在血压连续监测中的应用。在此,我们开发了一种基于光学微纤维智能表带的无袖血压监测系统,该系统结合光纤传感器制备、光信号采集电路集成、信号处理方法以及残差神经网络1D-ResNet的构建,实现了可穿戴动脉动态血压的连续监测。利用单模微光纤(SMMF)技术进行三维封装,可以快速准确地捕获脉冲信号。对100名受试者的脉搏信号进行采集和数据处理,并进行模型训练,结果收缩压(SBP)和舒张压(DBP)的平均误差(ME) ± 标准差(SD)分别为- 0.43 ± 4.58和- 0.40 ± 2.77 mmHg,均符合美国医疗器械进步协会(AAMI)和英国高血压学会(BHS)的标准。这初步证明了SMMF可穿戴设备作为可靠的血压测量产品的能力和通用性。
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来源期刊
Sensors and Actuators A-physical
Sensors and Actuators A-physical 工程技术-工程:电子与电气
CiteScore
8.10
自引率
6.50%
发文量
630
审稿时长
49 days
期刊介绍: Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas: • Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results. • Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon. • Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays. • Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers. Etc...
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