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Respiratory Frequency during Exercise: The Neglected Physiological Measure

The use of wearable sensor technology for athlete training monitoring is growing exponentially, but some important measures and related wearable devices have received little attention so far. Respiratory frequency (f(R)), for example, is emerging as a valuable measurement for training monitoring. De...

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Detalles Bibliográficos
Autores principales: Nicolò, Andrea, Massaroni, Carlo, Passfield, Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732209/
https://www.ncbi.nlm.nih.gov/pubmed/29321742
http://dx.doi.org/10.3389/fphys.2017.00922
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author Nicolò, Andrea
Massaroni, Carlo
Passfield, Louis
author_facet Nicolò, Andrea
Massaroni, Carlo
Passfield, Louis
author_sort Nicolò, Andrea
collection PubMed
description The use of wearable sensor technology for athlete training monitoring is growing exponentially, but some important measures and related wearable devices have received little attention so far. Respiratory frequency (f(R)), for example, is emerging as a valuable measurement for training monitoring. Despite the availability of unobtrusive wearable devices measuring f(R) with relatively good accuracy, f(R) is not commonly monitored during training. Yet f(R) is currently measured as a vital sign by multiparameter wearable devices in the military field, clinical settings, and occupational activities. When these devices have been used during exercise, f(R) was used for limited applications like the estimation of the ventilatory threshold. However, more information can be gained from f(R). Unlike heart rate, [Formula: see text] O(2), and blood lactate, f(R) is strongly associated with perceived exertion during a variety of exercise paradigms, and under several experimental interventions affecting performance like muscle fatigue, glycogen depletion, heat exposure and hypoxia. This suggests that f(R) is a strong marker of physical effort. Furthermore, unlike other physiological variables, f(R) responds rapidly to variations in workload during high-intensity interval training (HIIT), with potential important implications for many sporting activities. This Perspective article aims to (i) present scientific evidence supporting the relevance of f(R) for training monitoring; (ii) critically revise possible methodologies to measure f(R) and the accuracy of currently available respiratory wearables; (iii) provide preliminary indication on how to analyze f(R) data. This viewpoint is expected to advance the field of training monitoring and stimulate directions for future development of sports wearables.
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spelling pubmed-57322092018-01-10 Respiratory Frequency during Exercise: The Neglected Physiological Measure Nicolò, Andrea Massaroni, Carlo Passfield, Louis Front Physiol Physiology The use of wearable sensor technology for athlete training monitoring is growing exponentially, but some important measures and related wearable devices have received little attention so far. Respiratory frequency (f(R)), for example, is emerging as a valuable measurement for training monitoring. Despite the availability of unobtrusive wearable devices measuring f(R) with relatively good accuracy, f(R) is not commonly monitored during training. Yet f(R) is currently measured as a vital sign by multiparameter wearable devices in the military field, clinical settings, and occupational activities. When these devices have been used during exercise, f(R) was used for limited applications like the estimation of the ventilatory threshold. However, more information can be gained from f(R). Unlike heart rate, [Formula: see text] O(2), and blood lactate, f(R) is strongly associated with perceived exertion during a variety of exercise paradigms, and under several experimental interventions affecting performance like muscle fatigue, glycogen depletion, heat exposure and hypoxia. This suggests that f(R) is a strong marker of physical effort. Furthermore, unlike other physiological variables, f(R) responds rapidly to variations in workload during high-intensity interval training (HIIT), with potential important implications for many sporting activities. This Perspective article aims to (i) present scientific evidence supporting the relevance of f(R) for training monitoring; (ii) critically revise possible methodologies to measure f(R) and the accuracy of currently available respiratory wearables; (iii) provide preliminary indication on how to analyze f(R) data. This viewpoint is expected to advance the field of training monitoring and stimulate directions for future development of sports wearables. Frontiers Media S.A. 2017-12-11 /pmc/articles/PMC5732209/ /pubmed/29321742 http://dx.doi.org/10.3389/fphys.2017.00922 Text en Copyright © 2017 Nicolò, Massaroni and Passfield. http://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) or licensor 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
Nicolò, Andrea
Massaroni, Carlo
Passfield, Louis
Respiratory Frequency during Exercise: The Neglected Physiological Measure
title Respiratory Frequency during Exercise: The Neglected Physiological Measure
title_full Respiratory Frequency during Exercise: The Neglected Physiological Measure
title_fullStr Respiratory Frequency during Exercise: The Neglected Physiological Measure
title_full_unstemmed Respiratory Frequency during Exercise: The Neglected Physiological Measure
title_short Respiratory Frequency during Exercise: The Neglected Physiological Measure
title_sort respiratory frequency during exercise: the neglected physiological measure
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732209/
https://www.ncbi.nlm.nih.gov/pubmed/29321742
http://dx.doi.org/10.3389/fphys.2017.00922
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