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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...

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Autores principales: Napoli, Nicholas J., Rodrigues, Victoria R., Davenport, Paul W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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