可穿戴计算机
变形(气象学)
拉伤
材料科学
灵敏度(控制系统)
标度系数
应变计
可穿戴技术
导电体
纳米技术
计算机科学
复合材料
电子工程
制作
工程类
嵌入式系统
医学
病理
替代医学
内科学
作者
Zekun Liu,Zhenghong Li,Heng Zhai,Jin Lü,Kaili Chen,Yangpeiqi Yi,Yuan Gao,Lulu Xu,Yan Zheng,Sirui Yao,Zhangchi Liu,Gang Li,Qingwen Song,Pengfei Yue,Sheng Quan Xie,Yi Li,Zijian Zheng
标识
DOI:10.1016/j.cej.2021.130869
摘要
Wearable strain sensors have generated considerable recent research interest due to their huge potential in the real-time detection of human body deformation. State-of-the-art strain sensors are normally fabricated through conductive networks with a single sensing element, which always faces the challenge of either limited stretchability or inferior quality in sensitivity. In this work, we report a highly sensitive strain sensor based on a multi-functionalized fabric through carbonization and polymer-assisted copper deposition. The sensor shows high sensitivity (Gauge factor ∼ 3557.6 in the strain range from 0 to 48%), and outstanding stretchability up to the strain of 300%, which is capable of detecting different types of deformation of the human body. By integrating the high-performance sensor with a deep learning network, we demonstrate a high-accuracy respiration monitoring and emergency alarm system, showing the enormous application potential of the sensor in personal and public healthcare.
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