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A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics

Maximum aerobic power ([Formula: see text]) as an indicator of body fitness is today a very well-known concept not just for athletes but also for the layman. Unfortunately, the accurate measurement of that variable has remained a complex and exhaustive laboratory procedure, which makes it inaccessib...

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Autores principales: Storniolo, Jorge L., Pavei, Gaspare, Minetti, Alberto E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5672015/
https://www.ncbi.nlm.nih.gov/pubmed/29163210
http://dx.doi.org/10.3389/fphys.2017.00868
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author Storniolo, Jorge L.
Pavei, Gaspare
Minetti, Alberto E.
author_facet Storniolo, Jorge L.
Pavei, Gaspare
Minetti, Alberto E.
author_sort Storniolo, Jorge L.
collection PubMed
description Maximum aerobic power ([Formula: see text]) as an indicator of body fitness is today a very well-known concept not just for athletes but also for the layman. Unfortunately, the accurate measurement of that variable has remained a complex and exhaustive laboratory procedure, which makes it inaccessible to many active people. In this paper we propose a quick estimate of it, mainly based on the heart rate off-kinetics immediately after an all-out 60-m sprint run. The design of this test took into account the recent availability of wrist wearable, heart band free, multi-sensor smart devices, which could also inertially detect the different phases of the sprint and check the distance run. 25 subjects undertook the 60-m test outdoor and a [Formula: see text] test on the laboratory treadmill. Running average speed, HR excursion during the sprint and the time constant (τ) of HR exponential decay in the off-kinetics were fed into a multiple regression, with measured [Formula: see text] as the dependent variable. Statistics revealed that within the investigated range (25–55 ml O(2)/(kg min)), despite a tendency to overestimate low values and underestimate high values, the three predictors confidently estimate individual [Formula: see text] (R(2) = 0.65, p < 0.001). The same analysis has been performed on a 5-s averaged time course of the same measured HR off-kinetics, as these are the most time resolved data for HR provided by many modern smart watches. Results indicate that despite of the substantial reduction in sample size, predicted [Formula: see text] still explain 59% of the variability of the measured [Formula: see text].
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spelling pubmed-56720152017-11-21 A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics Storniolo, Jorge L. Pavei, Gaspare Minetti, Alberto E. Front Physiol Physiology Maximum aerobic power ([Formula: see text]) as an indicator of body fitness is today a very well-known concept not just for athletes but also for the layman. Unfortunately, the accurate measurement of that variable has remained a complex and exhaustive laboratory procedure, which makes it inaccessible to many active people. In this paper we propose a quick estimate of it, mainly based on the heart rate off-kinetics immediately after an all-out 60-m sprint run. The design of this test took into account the recent availability of wrist wearable, heart band free, multi-sensor smart devices, which could also inertially detect the different phases of the sprint and check the distance run. 25 subjects undertook the 60-m test outdoor and a [Formula: see text] test on the laboratory treadmill. Running average speed, HR excursion during the sprint and the time constant (τ) of HR exponential decay in the off-kinetics were fed into a multiple regression, with measured [Formula: see text] as the dependent variable. Statistics revealed that within the investigated range (25–55 ml O(2)/(kg min)), despite a tendency to overestimate low values and underestimate high values, the three predictors confidently estimate individual [Formula: see text] (R(2) = 0.65, p < 0.001). The same analysis has been performed on a 5-s averaged time course of the same measured HR off-kinetics, as these are the most time resolved data for HR provided by many modern smart watches. Results indicate that despite of the substantial reduction in sample size, predicted [Formula: see text] still explain 59% of the variability of the measured [Formula: see text]. Frontiers Media S.A. 2017-11-01 /pmc/articles/PMC5672015/ /pubmed/29163210 http://dx.doi.org/10.3389/fphys.2017.00868 Text en Copyright © 2017 Storniolo, Pavei and Minetti. 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
Storniolo, Jorge L.
Pavei, Gaspare
Minetti, Alberto E.
A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics
title A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics
title_full A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics
title_fullStr A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics
title_full_unstemmed A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics
title_short A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics
title_sort “wearable” test for maximum aerobic power: real-time analysis of a 60-m sprint performance and heart rate off-kinetics
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5672015/
https://www.ncbi.nlm.nih.gov/pubmed/29163210
http://dx.doi.org/10.3389/fphys.2017.00868
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