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Cited by 287

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Air-Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory Monitoring

Open access
Wang, Meng, Zhang, Jiahao, Tang, Yingjie, Li, Jun, Zhang, Baosen, Liang, Erjun, Mao, Yanchao, Wang, Xudong·2018·ACS Nano

Abstract

Respiration is one of the most important vital signs of humans, and respiratory monitoring plays an important role in physical health management. A low-cost and convenient real-time respiratory monitoring system is extremely desirable. In this work, we demonstrated an air-flow-driven triboelectric nanogenerator (TENG) for self-powered real-time respiratory monitoring by converting mechanical energy of human respiration into electric output signals. The operation of the TENG was based on the air-flow-driven vibration of a flexible nanostructured polytetrafluoroethylene (n-PTFE) thin film in an acrylic tube. This TENG can generate distinct real-time electric signals when exposed to the air flow from different breath behaviors. It was also found that the accumulative charge transferred in breath sensing corresponds well to the total volume of air exchanged during the respiration process. Based on this TENG device, an intelligent wireless respiratory monitoring and alert system was further developed, which used the TENG signal to directly trigger a wireless alarm or dial a cell phone to provide timely alerts in response to breath behavior changes. This research offers a promising solution for developing self-powered real-time respiratory monitoring devices.

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Crossref · 10.1021/acsnano.8b02562

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Metadata

Authors
Wang, M., Zhang, J., Tang, Y., Li, J., Zhang, B., Liang, E., Mao, Y., & Wang, X.
Venue
ACS Nano
Published
2018-05-30
Volume
12
Issue
6
Pages
6156-6162
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2806443020
Cited by
287
References
1
FWCI
11.80
Type
journal article
Language
en
Open access
green

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