TY - JOUR
T1 - A highly sensitive stretchable strain sensor based on multi-functionalized fabric for respiration monitoring and identification
AU - Liu, Zekun
AU - Li, Zhenhong
AU - Zhai, Heng
AU - Jin, Lu
AU - Chen, Kaili
AU - Yi, Yangpeiqi
AU - Gao, Yuan
AU - Xu, Lulu
AU - Zheng, Yan
AU - Yao, Sirui
AU - Liu, Zhangchi
AU - Li, Gang
AU - Song, Qingwen
AU - Yue, Pengfei
AU - Xie, Shengquan
AU - Li, Yi
AU - Zheng, Zijian
N1 - Funding Information:
We would like to thank the funding supports by EU Horizon 2020 through project ETEXWELD-H2020-MSCA-RISE-2014 (Grant No. 644268), the University of Manchester through UMRI project “Graphene-Smart Textiles E-Healthcare Network” (AA14512), as well as Key Laboratory of Silk Culture Heritage and Products Design Digital Technology, Ministry of Culture and Tourism, P. R. China (2020WLB02). We also thank the funding supports by Hong Kong Polytechnic University (Grant No. 1-ZVQM ), General Research Fund of Hong Kong (PolyU 153032/18P).
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/12/15
Y1 - 2021/12/15
N2 - 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.
AB - 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.
KW - Copper deposition
KW - Fiber functionalization
KW - Sensitivity enhancement
KW - Strain sensor
KW - Wearable electronics
UR - http://www.scopus.com/inward/record.url?scp=85113314915&partnerID=8YFLogxK
U2 - 10.1016/j.cej.2021.130869
DO - 10.1016/j.cej.2021.130869
M3 - Journal article
AN - SCOPUS:85113314915
SN - 1385-8947
VL - 426
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 130869
ER -