Shijin Zhang, Xia Yin, Pengxiang Yan, Yuanyuan Liu, Xiangjun Qi, Xuming Zhang, Tao Huang, Lianlong Xu, Xianjing Du, Na Na, Yongjun Mao, Song Hu, Hong Liu, Mingwei Tian
{"title":"智能护理对预防压力伤害和纺织坐垫康复的帮助","authors":"Shijin Zhang, Xia Yin, Pengxiang Yan, Yuanyuan Liu, Xiangjun Qi, Xuming Zhang, Tao Huang, Lianlong Xu, Xianjing Du, Na Na, Yongjun Mao, Song Hu, Hong Liu, Mingwei Tian","doi":"10.1007/s42765-024-00390-z","DOIUrl":null,"url":null,"abstract":"<div><p>Real-time monitoring of pressure and temperature in wheelchair patients is an effective method for preventing and rehabilitating pressure injuries. Nevertheless, few rehabilitation devices capable of monitoring temperature and pressure have been reported. Herein, we propose a fully textile-based scalable and designable dual-mode rehabilitation cushion for real-time monitoring of pressure and temperature. The different signal output modes (resistive and capacitive signals) enable noninterference between pressure and temperature. The cushion exhibits a wide pressure monitoring range of 2–160 kPa, a high sensitivity of 8.8399 kPa<sup>−1</sup>, and a repeatable stability exceeding 10,000 cycles. In addition, the cushion demonstrates excellent temperature responsiveness with a linearity of 0.995 and a TCR of 0.019 s°C<sup>−1</sup>. Furthermore, an intelligent monitoring system integrated with machine learning has been developed to realize large-range multipoint sensing and data visualization. The system can accurately recognize different sitting postures with an accuracy of 99.65%. Human application evaluations have demonstrated the feasibility of this cushion for preventing pressure injuries, which can stimulate further research on pressure injury prevention and rehabilitation in the future.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":459,"journal":{"name":"Advanced Fiber Materials","volume":"6 3","pages":"841 - 851"},"PeriodicalIF":17.2000,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Aid of Smart Nursing to Pressure Injury Prevention and Rehabilitation of Textile Cushions\",\"authors\":\"Shijin Zhang, Xia Yin, Pengxiang Yan, Yuanyuan Liu, Xiangjun Qi, Xuming Zhang, Tao Huang, Lianlong Xu, Xianjing Du, Na Na, Yongjun Mao, Song Hu, Hong Liu, Mingwei Tian\",\"doi\":\"10.1007/s42765-024-00390-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Real-time monitoring of pressure and temperature in wheelchair patients is an effective method for preventing and rehabilitating pressure injuries. Nevertheless, few rehabilitation devices capable of monitoring temperature and pressure have been reported. Herein, we propose a fully textile-based scalable and designable dual-mode rehabilitation cushion for real-time monitoring of pressure and temperature. The different signal output modes (resistive and capacitive signals) enable noninterference between pressure and temperature. The cushion exhibits a wide pressure monitoring range of 2–160 kPa, a high sensitivity of 8.8399 kPa<sup>−1</sup>, and a repeatable stability exceeding 10,000 cycles. In addition, the cushion demonstrates excellent temperature responsiveness with a linearity of 0.995 and a TCR of 0.019 s°C<sup>−1</sup>. Furthermore, an intelligent monitoring system integrated with machine learning has been developed to realize large-range multipoint sensing and data visualization. The system can accurately recognize different sitting postures with an accuracy of 99.65%. 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Aid of Smart Nursing to Pressure Injury Prevention and Rehabilitation of Textile Cushions
Real-time monitoring of pressure and temperature in wheelchair patients is an effective method for preventing and rehabilitating pressure injuries. Nevertheless, few rehabilitation devices capable of monitoring temperature and pressure have been reported. Herein, we propose a fully textile-based scalable and designable dual-mode rehabilitation cushion for real-time monitoring of pressure and temperature. The different signal output modes (resistive and capacitive signals) enable noninterference between pressure and temperature. The cushion exhibits a wide pressure monitoring range of 2–160 kPa, a high sensitivity of 8.8399 kPa−1, and a repeatable stability exceeding 10,000 cycles. In addition, the cushion demonstrates excellent temperature responsiveness with a linearity of 0.995 and a TCR of 0.019 s°C−1. Furthermore, an intelligent monitoring system integrated with machine learning has been developed to realize large-range multipoint sensing and data visualization. The system can accurately recognize different sitting postures with an accuracy of 99.65%. Human application evaluations have demonstrated the feasibility of this cushion for preventing pressure injuries, which can stimulate further research on pressure injury prevention and rehabilitation in the future.
期刊介绍：
Advanced Fiber Materials is a hybrid, peer-reviewed, international and interdisciplinary research journal which aims to publish the most important papers in fibers and fiber-related devices as well as their applications.Indexed by SCIE, EI, Scopus et al.
Publishing on fiber or fiber-related materials, technology, engineering and application.
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