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A paper-based self-inductive folding displacement sensor for human respiration and motion signals measurement
npj Flexible Electronics ( IF 14.6 ) Pub Date : 2022-08-02 , DOI: 10.1038/s41528-022-00198-0
Junwen Zhu , Yanshen Jia , Mengmeng Li , Zhanxuan Zhou , Yinghao Chen , Qiang Liu , Xing Yang

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−1 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.



中文翻译:

一种用于人体呼吸和运动信号测量的纸基自感应折叠位移传感器

柔性传感器最近在运动测量和可穿戴健康监测方面的潜在应用引起了广泛关注。本文提出了一种环保、经济、高性能的纸基自感应折叠位移传感器(PSIFS),位移分辨率为20 μm,测量范围为43.2 mm。传感器灵敏度可达4.44% mm -1实验中的最大偏差为 0.00904。提出并研究了基于平面电感线圈三维变形引起的电感变化的传感机制及灵敏度和尺寸二维下的结构设计原理。提出了提高灵敏度的折叠方法,一次折叠即可实现灵敏度提高3倍。可以识别人体关节的多种呼吸状态和运动状态。所提出的简单纸基传感器、提高灵敏度的折叠方法以及结构设计模型可为柔性传感器的研究提供一种途径。

更新日期:2022-08-03
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