Respiratory rate monitoring system based on inorganic halide perovskite humidity sensor

Q3 Engineering
Wu Yingjie, Wu Zhilin, Wang Lin, Nian Weiqi, He Yong, Guo Yong-cai
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引用次数: 0

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.
基于无机卤化物钙钛矿湿度传感器的呼吸速率监测系统
传统的呼吸频率测量技术存在评价结果主观、信号提取过程复杂、设备使用困难、有线连接设置不方便等缺点。呼吸气流可以直接反映人的呼吸,呼吸频率通常为1012次/分钟(每5次6秒换气1次)。呼气和吸气之间的湿度差可以直接用来测量呼吸速率。本文研制了一种基于无机卤化物钙钛矿湿度传感器的无线呼吸速率监测系统。该传感器具有超灵敏的湿度传感性能,克服了商用湿度传感器响应/恢复时间较长(> 10秒)的缺点。该系统利用Zigbee无线通信传输测量信号,将信号检测和处理部分分离,便于测试仪移动。设计上位机软件进行数据处理,计算呼吸频率。该系统能够实时准确地监测呼吸频率,通过与设定的阈值进行比较,成功地识别并报警呼吸暂停。测试结果表明,该系统可以准确地监测呼吸频率,最大误差为1次/分钟。该系统具有精度高、操作简单、便携、成本低等优点,在呼吸频率监测中具有很大的应用潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
光电工程
光电工程 Engineering-Electrical and Electronic Engineering
CiteScore
2.00
自引率
0.00%
发文量
6622
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