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Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals

Measurement of accurate tidal volumes based on respiration-induced surface movements of the upper body would be valuable in clinical and sports monitoring applications, but most current methods lack the precision, ease of use, or cost effectiveness required for wide-scale uptake. In this paper, the...

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Autores principales: Laufer, Bernhard, Hoeflinger, Fabian, Docherty, Paul D., Jalal, Nour Aldeen, Krueger-Ziolek, Sabine, Rupitsch, Stefan J., Reindl, Leonhard, Moeller, Knut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920533/
https://www.ncbi.nlm.nih.gov/pubmed/36772318
http://dx.doi.org/10.3390/s23031278
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author Laufer, Bernhard
Hoeflinger, Fabian
Docherty, Paul D.
Jalal, Nour Aldeen
Krueger-Ziolek, Sabine
Rupitsch, Stefan J.
Reindl, Leonhard
Moeller, Knut
author_facet Laufer, Bernhard
Hoeflinger, Fabian
Docherty, Paul D.
Jalal, Nour Aldeen
Krueger-Ziolek, Sabine
Rupitsch, Stefan J.
Reindl, Leonhard
Moeller, Knut
author_sort Laufer, Bernhard
collection PubMed
description Measurement of accurate tidal volumes based on respiration-induced surface movements of the upper body would be valuable in clinical and sports monitoring applications, but most current methods lack the precision, ease of use, or cost effectiveness required for wide-scale uptake. In this paper, the theoretical ability of different sensors, such as inertial measurement units, strain gauges, or circumference measurement devices to determine tidal volumes were investigated, scrutinised and evaluated. Sixteen subjects performed different breathing patterns of different tidal volumes, while using a motion capture system to record surface motions and a spirometer as a reference to obtain tidal volumes. Subsequently, the motion-capture data were used to determine upper-body circumferences, tilt angles, distance changes, movements and accelerations—such data could potentially be measured using optical encoders, inertial measurement units, or strain gauges. From these parameters, the measurement range and correlation with the volume signal of the spirometer were determined. The highest correlations were found between the spirometer volume and upper body circumferences; surface deflection was also well correlated, while accelerations carried minor respiratory information. The ranges of thorax motion parameters measurable with common sensors and the values and correlations to respiratory volume are presented. This article thus provides a novel tool for sensor selection for a smart shirt analysis of respiration.
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spelling pubmed-99205332023-02-12 Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals Laufer, Bernhard Hoeflinger, Fabian Docherty, Paul D. Jalal, Nour Aldeen Krueger-Ziolek, Sabine Rupitsch, Stefan J. Reindl, Leonhard Moeller, Knut Sensors (Basel) Article Measurement of accurate tidal volumes based on respiration-induced surface movements of the upper body would be valuable in clinical and sports monitoring applications, but most current methods lack the precision, ease of use, or cost effectiveness required for wide-scale uptake. In this paper, the theoretical ability of different sensors, such as inertial measurement units, strain gauges, or circumference measurement devices to determine tidal volumes were investigated, scrutinised and evaluated. Sixteen subjects performed different breathing patterns of different tidal volumes, while using a motion capture system to record surface motions and a spirometer as a reference to obtain tidal volumes. Subsequently, the motion-capture data were used to determine upper-body circumferences, tilt angles, distance changes, movements and accelerations—such data could potentially be measured using optical encoders, inertial measurement units, or strain gauges. From these parameters, the measurement range and correlation with the volume signal of the spirometer were determined. The highest correlations were found between the spirometer volume and upper body circumferences; surface deflection was also well correlated, while accelerations carried minor respiratory information. The ranges of thorax motion parameters measurable with common sensors and the values and correlations to respiratory volume are presented. This article thus provides a novel tool for sensor selection for a smart shirt analysis of respiration. MDPI 2023-01-22 /pmc/articles/PMC9920533/ /pubmed/36772318 http://dx.doi.org/10.3390/s23031278 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
Laufer, Bernhard
Hoeflinger, Fabian
Docherty, Paul D.
Jalal, Nour Aldeen
Krueger-Ziolek, Sabine
Rupitsch, Stefan J.
Reindl, Leonhard
Moeller, Knut
Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals
title Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals
title_full Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals
title_fullStr Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals
title_full_unstemmed Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals
title_short Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals
title_sort characterisation and quantification of upper body surface motions for tidal volume determination in lung-healthy individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920533/
https://www.ncbi.nlm.nih.gov/pubmed/36772318
http://dx.doi.org/10.3390/s23031278
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