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Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique

This paper proposes a non-contact continuous respiration monitoring method based on Fringe Projection Profilometry (FPP). This method aims to overcome the limitations of traditional intrusive techniques by providing continuous monitoring without interfering with normal breathing. The FPP sensor capt...

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Detalles Bibliográficos
Autores principales: Lorenz, Anna Lena, Zhang, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648030/
https://www.ncbi.nlm.nih.gov/pubmed/37960698
http://dx.doi.org/10.3390/s23219000
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author Lorenz, Anna Lena
Zhang, Song
author_facet Lorenz, Anna Lena
Zhang, Song
author_sort Lorenz, Anna Lena
collection PubMed
description This paper proposes a non-contact continuous respiration monitoring method based on Fringe Projection Profilometry (FPP). This method aims to overcome the limitations of traditional intrusive techniques by providing continuous monitoring without interfering with normal breathing. The FPP sensor captures three-dimensional (3D) respiratory motion from the chest wall and abdomen, and the analysis algorithms extract respiratory parameters. The system achieved a high Signal-to-Noise Ratio (SNR) of 37 dB with an ideal sinusoidal respiration signal. Experimental results demonstrated that a mean correlation of 0.95 and a mean Root-Mean-Square Error (RMSE) of 0.11 breaths per minute (bpm) were achieved when comparing to a reference signal obtained from a spirometer.
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spelling pubmed-106480302023-11-06 Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique Lorenz, Anna Lena Zhang, Song Sensors (Basel) Article This paper proposes a non-contact continuous respiration monitoring method based on Fringe Projection Profilometry (FPP). This method aims to overcome the limitations of traditional intrusive techniques by providing continuous monitoring without interfering with normal breathing. The FPP sensor captures three-dimensional (3D) respiratory motion from the chest wall and abdomen, and the analysis algorithms extract respiratory parameters. The system achieved a high Signal-to-Noise Ratio (SNR) of 37 dB with an ideal sinusoidal respiration signal. Experimental results demonstrated that a mean correlation of 0.95 and a mean Root-Mean-Square Error (RMSE) of 0.11 breaths per minute (bpm) were achieved when comparing to a reference signal obtained from a spirometer. MDPI 2023-11-06 /pmc/articles/PMC10648030/ /pubmed/37960698 http://dx.doi.org/10.3390/s23219000 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lorenz, Anna Lena
Zhang, Song
Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique
title Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique
title_full Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique
title_fullStr Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique
title_full_unstemmed Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique
title_short Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique
title_sort human respiration rate measurement with high-speed digital fringe projection technique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648030/
https://www.ncbi.nlm.nih.gov/pubmed/37960698
http://dx.doi.org/10.3390/s23219000
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