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Characterizing and Modeling Breathing Dynamics: Flow Rate, Rhythm, Period, and Frequency
The characterization of breathing dynamics provides researchers and clinicians the ability to differentiate respiratory compensation, impairment, disease progression, ventilator assistance, and the onset of respiratory failure. However, within many sub-fields of respiratory physiology, we still have...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899297/ https://www.ncbi.nlm.nih.gov/pubmed/35264974 http://dx.doi.org/10.3389/fphys.2021.772295 |
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author | Napoli, Nicholas J. Rodrigues, Victoria R. Davenport, Paul W. |
author_facet | Napoli, Nicholas J. Rodrigues, Victoria R. Davenport, Paul W. |
author_sort | Napoli, Nicholas J. |
collection | PubMed |
description | The characterization of breathing dynamics provides researchers and clinicians the ability to differentiate respiratory compensation, impairment, disease progression, ventilator assistance, and the onset of respiratory failure. However, within many sub-fields of respiratory physiology, we still have challenges identifying changes within the breathing dynamics and critical respiratory states. We discuss one fundamental modeling of breathing and how modeling imprecise assumptions decades ago regarding breathing are still propagating into our quantitative analysis today, limiting our characterization and modeling of breathing. The assumption that breathing is a continuous sinusoidal wave that can consist of a single frequency which is composed of a stationary time-invariant process has limited our expanded discussion of breathing dynamics, modeling, functional testings, and metrics. Therefore, we address major misnomers regarding breathing dynamics, specifically rate, rhythm, frequency, and period. We demonstrate how these misnomers impact the characterization and modeling through the force equations that are linked to the Work of Breathing (WoB) and our interpretation of breathing dynamics through the fundamental models and create possible erroneous evaluations of work of breathing. This discussion and simplified non-periodic WoB models ultimately sets the foundation for improved quantitative approaches needed to further our understanding of breathing dynamics, compensation, and adaptation. |
format | Online Article Text |
id | pubmed-8899297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88992972022-03-08 Characterizing and Modeling Breathing Dynamics: Flow Rate, Rhythm, Period, and Frequency Napoli, Nicholas J. Rodrigues, Victoria R. Davenport, Paul W. Front Physiol Physiology The characterization of breathing dynamics provides researchers and clinicians the ability to differentiate respiratory compensation, impairment, disease progression, ventilator assistance, and the onset of respiratory failure. However, within many sub-fields of respiratory physiology, we still have challenges identifying changes within the breathing dynamics and critical respiratory states. We discuss one fundamental modeling of breathing and how modeling imprecise assumptions decades ago regarding breathing are still propagating into our quantitative analysis today, limiting our characterization and modeling of breathing. The assumption that breathing is a continuous sinusoidal wave that can consist of a single frequency which is composed of a stationary time-invariant process has limited our expanded discussion of breathing dynamics, modeling, functional testings, and metrics. Therefore, we address major misnomers regarding breathing dynamics, specifically rate, rhythm, frequency, and period. We demonstrate how these misnomers impact the characterization and modeling through the force equations that are linked to the Work of Breathing (WoB) and our interpretation of breathing dynamics through the fundamental models and create possible erroneous evaluations of work of breathing. This discussion and simplified non-periodic WoB models ultimately sets the foundation for improved quantitative approaches needed to further our understanding of breathing dynamics, compensation, and adaptation. Frontiers Media S.A. 2022-02-21 /pmc/articles/PMC8899297/ /pubmed/35264974 http://dx.doi.org/10.3389/fphys.2021.772295 Text en Copyright © 2022 Napoli, Rodrigues and Davenport. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Napoli, Nicholas J. Rodrigues, Victoria R. Davenport, Paul W. Characterizing and Modeling Breathing Dynamics: Flow Rate, Rhythm, Period, and Frequency |
title | Characterizing and Modeling Breathing Dynamics: Flow Rate, Rhythm, Period, and Frequency |
title_full | Characterizing and Modeling Breathing Dynamics: Flow Rate, Rhythm, Period, and Frequency |
title_fullStr | Characterizing and Modeling Breathing Dynamics: Flow Rate, Rhythm, Period, and Frequency |
title_full_unstemmed | Characterizing and Modeling Breathing Dynamics: Flow Rate, Rhythm, Period, and Frequency |
title_short | Characterizing and Modeling Breathing Dynamics: Flow Rate, Rhythm, Period, and Frequency |
title_sort | characterizing and modeling breathing dynamics: flow rate, rhythm, period, and frequency |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899297/ https://www.ncbi.nlm.nih.gov/pubmed/35264974 http://dx.doi.org/10.3389/fphys.2021.772295 |
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