基于无机卤化物钙钛矿湿度传感器的呼吸率监测系统

邬映杰; 伍志林; 王玲; 辇伟奇; 何邕; 郭永彩

doi:10.12086/oee.2021.200100

基于无机卤化物钙钛矿湿度传感器的呼吸率监测系统

doi: 10.12086/oee.2021.200100

基金项目:

国家重点研发计划重大仪器专项 2016YFF0102802

重庆市重点仪器专项 cstc2017zdcy-zdzxX0009

重庆市科研机构绩效激励引导专项基金资助项目 cstc2019jxjl130029

重庆市自然科学基金资助项目 cstc2018jcyjA3233

重庆市自然科学基金资助项目 cstc2019jcyj-msxmX0623

中央高校基本科研业务费 2018CDQYGD0008

中央高校基本科研业务费 2018CDXYGD0017

中央高校基本科研业务费 2019CDQYGD004

重庆市研究生科研创新项目 CYS19011

详细信息

作者简介:
邬映杰(1996-)，男，硕士研究生，主要从事钙钛矿湿度传感器及其应用的研究。E-mail: wuyingjie@cqu.edu.cn

通讯作者:
郭永彩(1963-)，女，博士，教授，主要从事光电传感及精密测量仪器的研究。E-mail: ycguo@cqu.edu.cn

中图分类号: TH837
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出版历程
- 收稿日期: 2020-03-23
- 修回日期: 2020-11-06

Respiratory rate monitoring system based on inorganic halide perovskite humidity sensor

Funds:

National Key R & D Plan for Major Instruments 2016YFF0102802

Chongqing Key Instrument Project cstc2017zdcy-zdzxX0009

Funded by Special Fund for Performance Incentive Guidance of Scientific Research Institutions in Chongqing cstc2019jxjl130029

Chongqing Natural Science Foundation cstc2018jcyjA3233

Chongqing Natural Science Foundation cstc2019jcyj-msxmX0623

Fundamental Scientific Research Business of Central Universities 2018CDQYGD0008

Fundamental Scientific Research Business of Central Universities 2018CDXYGD0017

Fundamental Scientific Research Business of Central Universities 2019CDQYGD004

Chongqing Graduate Research and Innovation Project CYS19011

More Information

Corresponding author: Guo Yongcai, E-mail: ycguo@cqu.edu.cn

摘要

摘要: 呼吸率检测中存在主观因素强、信号提取复杂、设备不易获取和有线连接不方便测试者移动等问题。人体呼吸周期为3 s~6 s，呼吸气流是呼吸动作的最直接反应，与周围空气存在湿度差。本文采用研制的新型无机卤化物钙钛矿湿度传感器测量呼吸率，克服了市面上湿度传感器响应和恢复时间长(10 s以上)的问题。系统使用Zigbee无线通信传输检测信号，使信号检测和处理部分分离，方便测试者移动。使用上位机软件进行数据处理计算呼吸率，并根据呼吸暂停阈值判断呼吸状态。测试结果表明，系统可实时准确监测呼吸率，最大误差1次/分钟，具有准确率高、信号处理简单、便携和成本低的优势。
- 呼吸气流 /
- 湿度传感器 /
- 呼吸率监测 /
- 无线通信 /
- 上位机设计
Abstract: The traditional respiratory rate measurement technologies have several deficiencies, such as subjective appraised results, complicated signal extraction processes, difficult access to equipment, and inconvenience to move due to the wired connection setting. The respiratory airflow can directly reflect the human breath, and the respiratory frequency is usually 10~12 breaths/min (1 ventilation every 5~6 seconds). The humidity difference between exhalation and inhalation can be directly used to measure respiratory rate. In the present work, a wireless respiratory rate monitoring system based on inorganic halide perovskite humidity sensor was developed. The sensor exhibits an ultrasensitive humidity sensing performance, which overcomes the long response/recovery time (> 10 seconds) of the commercial humidity sensors. The system utilized a Zigbee wireless communication to transmit the measurement signal, which separates the signal detection and processing parts, making it easier for the tester to move. The upper computer software was designed and used for data processing to calculate the breathing rate. The system can accurately monitor the respiratory rate in real-time, recognize and alarm the apnea successfully by comparing with a setting threshold value. The test results show that the system can accurately monitor the breathing rate with a maximum error of 1 time per minute. The system possesses great potential for application in respiratory rate monitoring due to its high accuracy, simple operation, portability, and low cost.
- respiratory airflow /
- humidity sensor /
- respiratory rate monitoring /
- wireless communication /
- upper computer design

HTML全文

图 1 呼吸监测系统总体框图

Figure 1. Block diagram of respiratory monitoring system

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图 2 无机卤化物钙钛矿湿敏材料合成

Figure 2. Synthesis of inorganic halide perovskite - sensitive materials

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图 3 电阻式湿度传感器制作流程图

Figure 3. Resistance type humidity sensor making flow chart

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图 4 硬件电路框图

Figure 4. Hardware circuit diagram

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图 5 传感器信号转换电路

Figure 5. Sensor signal conversion circuit

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图 6 电源管理电路

Figure 6. Sensor signal conversion circuit

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图 7 串口转USB电路

Figure 7. Serial port to USB circuit

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图 8 数据采集、无线传输节点程序流程图

Figure 8. Data acquisition, wireless transmission node program

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图 9 接收节点程序流程图

Figure 9. Receive node program flowchart

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图 10 上位机软件界面

Figure 10. Upper computer software interface

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图 11 上位机程序流程图

Figure 11. Upper computer program flow chart

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图 12 传感器性能测试。(a) 重复性；(b) 梯度湿度；(c) 响应时间；(d) 恢复时间

Figure 12. Sensor performance test. (a) Repetitive; (b) Gradient humidity; (c) Response time; (d) Recovery time

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图 13 呼吸率监测系统实物。

1-湿度传感器；2-发送节点；3-接收节点

Figure 13. Respiratory rate monitoring system.

1-humidity sensor; 2-send node; 3-receive node

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图 14 呼吸率监测显示与判断

Figure 14. Respiratory monitoring display and judgment

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表 1 呼吸率测试

Table 1. Respiratory rate testing

编号	呼吸率（次/分钟）
	慢速		正常		快速
	实际	测试	实际	测试	实际	测试
测试者1	7	6	17	17	28	28
测试者2	8	8	15	14	24	25
测试者3	11	11	18	18	26	26
测试者4	9	9	16	15	25	24
测试者5	8	7	16	16	24	24

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