Opto-Electronic Engineering, Volume. 48, Issue 3, 200100(2021)

Respiratory rate monitoring system based on inorganic halide perovskite humidity sensor

Wu Yingjie1, Wu Zhilin1, Wang Lin2, Nian Weiqi2, He Yong1, and Guo Yongcai1、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    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.

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    Wu Yingjie, Wu Zhilin, Wang Lin, Nian Weiqi, He Yong, Guo Yongcai. Respiratory rate monitoring system based on inorganic halide perovskite humidity sensor[J]. Opto-Electronic Engineering, 2021, 48(3): 200100

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    Paper Information

    Category: Article

    Received: Mar. 23, 2020

    Accepted: --

    Published Online: Sep. 4, 2021

    The Author Email: Yongcai Guo (ycguo@cqu.edu.cn)

    DOI:10.12086/oee.2021.200100

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