Porous fiber paper and 3D patterned electrodes composed high-sensitivity flexible piezoresistive sensor for physiological signal monitoring

被引:0
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作者
XiaoJuan Hou
JiXin Zhong
Jian He
ChangJun Yang
JunBin Yu
LinYu Mei
JiLiang Mu
WenPing Geng
XiuJian Chou
机构
[1] North University of China,Science and Technology on Electronic Test and Measurement Laboratory
[2] North University of China,School of Mechanical Engineering
来源
关键词
flexible pressure sensor; high sensitivity; wide measurement range; fiber paper; 3D patterned electrodes; physiological signal monitoring;
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中图分类号
学科分类号
摘要
The research on flexible pressure sensors has drawn widespread attention in recent years, especially in the fields of health care and intelligent robots. In practical applications, the sensitivity of sensors directly affects the precision and integrity of weak pressure signals. Here, a pressure sensor with high sensitivity and a wide measurement range composed of porous fiber paper and 3D patterned electrodes is proposed. Multi-walled carbon nanotubes with excellent conductivity were evenly sprayed on the fiber paper to form the natural spatial conducting networks, while the copper-deposited polydimethylsiloxane films with micro-pyramids array were used as electrodes and flexible substrates. Increased conducting paths between electrodes and fibers can be obtained when high-density micro-pyramids fall into the porous structures of the fiber paper under external pressure, thereby promoting the pressure sensor to show an ultra-high sensitivity of 17.65 kPa−1 in the pressure range of 0–2 kPa, 16 times that of the device without patterned electrodes. Besides, the sensor retains a high sensitivity of 2.06 kPa−1 in an ultra-wide measurement range of 150 kPa. Moreover, the sensor can detect various physiological signals, including pulse and voice, while attached to the human skin. This work provides a novel strategy to significantly improve the sensitivity and measurement range of flexible pressure sensors, as well as demonstrates attractive applications in physiological signal monitoring.
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页码:1169 / 1178
页数:9
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