用于新冠肺炎后教育的无电池呼吸监测系统

IF 0.6 4区 工程技术 Q4 MECHANICS Mechanika Pub Date : 2023-08-09 DOI:10.5755/j02.mech.33435
Jun Wu, Zhifang Fan
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引用次数: 0

摘要

嵌入式系统近年来在可穿戴健康监测和物联网(IoT)领域有越来越多的设计和应用。在这项工作中,设计并制造了一种基于用于压力传感的软聚偏氟乙烯(PVDF)压电薄膜和用于能量采集的固体锆钛酸铅(PZT)垫的无电池人体呼吸监测系统。通过力学分析选择合适的材料和结构来制造系统。然后,该设备用于在学习时测量真实的呼吸信号(记忆测试用于表示学习过程)。提取呼吸频率和强度数据,并将其与测试分数一起用于校正分析。结果表明,平静、缓慢和深呼吸会对测试成绩产生积极影响。这项研究打开了将工程设计的设备与教育研究相结合的大门,展示了机械和电子系统的广泛应用。
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A Battery-free Breathing monitoring System for post-COVID education
Embedded systems have more and more designs and applications in wearable health monitoring and the Internet of Things (IoT) recently. In this work, a battery-free human breathing monitoring system based on soft polyvinylidene fluoride (PVDF) piezoelectric thin film for pressure sensing and solid lead zirconate titanate (PZT) pads for powering energy harvest is designed and fabricated. Proper material and structure are chosen by the mechanical analysis to fabricate the systems. Then the device is used to measure the real breathing signal while studying (the memory test is used to represent the study procedure). The breathing frequency and intensity data are extracted and used in correction analysis with the testing score. And the results show that peaceful, slow, and deep breathing will have a positive influence on the testing score. This study opens the mind to combine the engineering designed device with education research, showing the broad application of mechanical and electronic systems.
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来源期刊
Mechanika
Mechanika 物理-力学
CiteScore
1.30
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: The journal is publishing scientific papers dealing with the following problems: Mechanics of Solid Bodies; Mechanics of Fluids and Gases; Dynamics of Mechanical Systems; Design and Optimization of Mechanical Systems; Mechanical Technologies.
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