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A paper-based self-inductive folding displacement sensor for human respiration and motion signals measurement.

Authors :
Zhu, Junwen
Jia, Yanshen
Li, Mengmeng
Zhou, Zhanxuan
Chen, Yinghao
Liu, Qiang
Yang, Xing
Source :
NPJ Flexible Electronics; 8/2/2022, Vol. 6 Issue 1, p1-11, 11p
Publication Year :
2022

Abstract

Flexible sensors have recently attracted much attention for potential applications in motion measurement and wearable health monitoring. In this paper, an environment-friendly, economic, and high-performance paper-based self-inductive folding displacement sensor (PSIFS) was proposed, with displacement resolution of 20 μm and wide measurement range of 43.2 mm. The sensor sensitivity could reach 4.44% mm<superscript>−1</superscript> with the maximum deviation of 0.00904 in experiments. The sensing mechanism based on inductance variation due to three-dimensional deformation of planar inductor coil and structural design principle under two dimensions of sensitivity and size were proposed and studied. The folding method to enhance sensitivity was proposed and 3 times sensitivity enhancement could be achieved by once folding. Multiple breathing states and motion states of the human joints could be recognized. The proposed simple paper-based sensor, folding method to increase sensitivity, and structural design model may provide a way for the research of flexible sensors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23974621
Volume :
6
Issue :
1
Database :
Complementary Index
Journal :
NPJ Flexible Electronics
Publication Type :
Academic Journal
Accession number :
158312932
Full Text :
https://doi.org/10.1038/s41528-022-00198-0