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  5. Helical Fiber Strain Sensors Based on Triboelectric Nanogenerators for Self-Powered Human Respiratory Monitoring

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Article
en
2022

Helical Fiber Strain Sensors Based on Triboelectric Nanogenerators for Self-Powered Human Respiratory Monitoring

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en
2022
Vol 16 (2)
Vol. 16
DOI: 10.1021/acsnano.1c09792

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Chuan Ning
Renwei Cheng
Yang Jiang
+7 more

Abstract

Respiration is a major vital sign, which can be used for early illness diagnosis and physiological monitoring. Wearable respiratory sensors present an exciting opportunity to monitor human respiratory behaviors in a real-time, noninvasive, and comfortable way. Among them, fiber-shaped triboelectric nanogenerators (FS-TENGs) are attractive for their comfort and high degree of freedom. However, the single-electrode FS-TENGs cannot respond to their own tensile strains, and the coaxial double-electrode FS-TENGs show low sensitivity to strain due to structural limitations. Here, a type of helical fiber strain sensor (HFSS) is developed, which can respond to tiny tensile strains. In addition, a smart wearable real-time respiratory monitoring system is developed based on the HFSSs, which can measure some key breathing parameters for disease prevention and medical diagnosis. An intelligent alarm can automatically call a preset mobile phone for help in response to respiratory behavior changes. This work provides an effective helical structure for fabricating highly sensitive strain sensors based on FS-TENGs and develops wearable self-powered real-time respiratory monitoring systems.

How to cite this publication

Chuan Ning, Renwei Cheng, Yang Jiang, Feifan Sheng, Jia Yi, Shen Shen, Yihan Zhang, Peng Xiao, Kai Dong, Zhong Lin Wang (2022). Helical Fiber Strain Sensors Based on Triboelectric Nanogenerators for Self-Powered Human Respiratory Monitoring. , 16(2), DOI: https://doi.org/10.1021/acsnano.1c09792.

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Publication Details

Type

Article

Year

2022

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acsnano.1c09792

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