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Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition

Breathing condition is an essential physiological indicator closely related to human health. Wearable flexible breath sensors for respiration pattern recognition have attracted much attention as they can provide physiological signal details for personal medical diagnosis, health monitoring, etc. How...

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Autores principales: Pang, Zhoujun, Zhao, Yu, Luo, Ningqi, Chen, Dihu, Chen, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579593/
https://www.ncbi.nlm.nih.gov/pubmed/36261444
http://dx.doi.org/10.1038/s41598-022-21572-y
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author Pang, Zhoujun
Zhao, Yu
Luo, Ningqi
Chen, Dihu
Chen, Min
author_facet Pang, Zhoujun
Zhao, Yu
Luo, Ningqi
Chen, Dihu
Chen, Min
author_sort Pang, Zhoujun
collection PubMed
description Breathing condition is an essential physiological indicator closely related to human health. Wearable flexible breath sensors for respiration pattern recognition have attracted much attention as they can provide physiological signal details for personal medical diagnosis, health monitoring, etc. However, present smart mask based on flexible breath sensors using single-mode detection can only detect a relatively small number of respiration patterns, especially lacking the ability to accurately distinguish mouth breath from nasal one. Herein, a smart face mask incorporated with a dual-sensing mode breathing sensor that can recognize up to eight human respiration patterns is fabricated. The breathing sensor uses novel three dimensional (3D) buckling carbon nanofiber mats as active materials to realize the function of pressure and temperature sensing simultaneously. The pressure model of the sensors shows a high sensitivity that are able to precisely detect pressure generated by respiratory airflow, while the temperature model can realize non-contact temperature variation caused by breath. Benefit from the capacity of real-time recognition and accurate distinguishing between mouth breath and nasal breath, the face mask is further developed to monitor the development of mouth breathing syndrome. The dual-sensing mode sensor has great potential applications in health monitoring.
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spelling pubmed-95795932022-10-19 Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition Pang, Zhoujun Zhao, Yu Luo, Ningqi Chen, Dihu Chen, Min Sci Rep Article Breathing condition is an essential physiological indicator closely related to human health. Wearable flexible breath sensors for respiration pattern recognition have attracted much attention as they can provide physiological signal details for personal medical diagnosis, health monitoring, etc. However, present smart mask based on flexible breath sensors using single-mode detection can only detect a relatively small number of respiration patterns, especially lacking the ability to accurately distinguish mouth breath from nasal one. Herein, a smart face mask incorporated with a dual-sensing mode breathing sensor that can recognize up to eight human respiration patterns is fabricated. The breathing sensor uses novel three dimensional (3D) buckling carbon nanofiber mats as active materials to realize the function of pressure and temperature sensing simultaneously. The pressure model of the sensors shows a high sensitivity that are able to precisely detect pressure generated by respiratory airflow, while the temperature model can realize non-contact temperature variation caused by breath. Benefit from the capacity of real-time recognition and accurate distinguishing between mouth breath and nasal breath, the face mask is further developed to monitor the development of mouth breathing syndrome. The dual-sensing mode sensor has great potential applications in health monitoring. Nature Publishing Group UK 2022-10-19 /pmc/articles/PMC9579593/ /pubmed/36261444 http://dx.doi.org/10.1038/s41598-022-21572-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pang, Zhoujun
Zhao, Yu
Luo, Ningqi
Chen, Dihu
Chen, Min
Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition
title Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition
title_full Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition
title_fullStr Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition
title_full_unstemmed Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition
title_short Flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition
title_sort flexible pressure and temperature dual-mode sensor based on buckling carbon nanofibers for respiration pattern recognition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579593/
https://www.ncbi.nlm.nih.gov/pubmed/36261444
http://dx.doi.org/10.1038/s41598-022-21572-y
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