Fabrication and Characterization of Yarn-Based Temperature Sensor for Respiratory Monitoring

TP212; The development of wearable technologies promotes the research of flexible sensors. It is hoped that a flexible sensor can collect different physiological data, such as temperature and respiratory rate(RR). The temperature of the exhaled gas is generally higher than that in the air, and the p...

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Published in东华大学学报(英文版) Vol. 39; no. 6; pp. 527 - 532
Main Authors BAI Yunfeng, XIE Erxiang, LI Qiao, WANG Xi, DING Hao, ZHU Shigen
Format Journal Article
LanguageEnglish
Published College of Mechanical Engineering,Donghua University,Shanghai 201620,China 31.12.2022
Engineering Research Center of Advanced Textile Machinery,Ministry of Education,Donghua University,Shanghai 201620,China%College of Textiles,Donghua University,Shanghai 201620,China%College of Information Science and Technology,Donghua University,Shanghai 201620,China
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Summary:TP212; The development of wearable technologies promotes the research of flexible sensors. It is hoped that a flexible sensor can collect different physiological data, such as temperature and respiratory rate(RR). The temperature of the exhaled gas is generally higher than that in the air, and the periodic change of temperature is related to the respiratory rate. In this work, we use platinum fiber and spandex fiber to prepare yarn-based temperature sensor with high tensile performance through hollow spindle wrapping spinning technology. After the measurement, the sensitivity of the sensor can reach at least 3.18×10-3℃-1. We use the sensor and ordinary fabric mask to prepare a sensor mask that can monitor human respiratory signals to explore the performance of the sensor in RR measurement. The experimental results show that when measuring human RR, the yarn-based temperature sensor can accurately distinguish different respiratory states such as normal breathing, deep breathing, and rapid breathing while speaking. It is suggested that yarn-based temperature sensors can be used in medical fields such as real-time respiratory detection and temperature measurement.
ISSN:1672-5220
DOI:10.19884/j.1672-5220.202203005