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Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor

Wearable technology has allowed for the real-time assessment of mechanical work employed in several sporting activities. Through novel power metrics, Functional Threshold Power have shown a reliable indicator of training intensities. This study aims to determine the relationship between mean power o...

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Autores principales: Cartón-Llorente, Antonio, García-Pinillos, Felipe, Royo-Borruel, Jorge, Rubio-Peirotén, Alberto, Jaén-Carrillo, Diego, Roche-Seruendo, Luis E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830104/
https://www.ncbi.nlm.nih.gov/pubmed/33467511
http://dx.doi.org/10.3390/s21020582
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author Cartón-Llorente, Antonio
García-Pinillos, Felipe
Royo-Borruel, Jorge
Rubio-Peirotén, Alberto
Jaén-Carrillo, Diego
Roche-Seruendo, Luis E.
author_facet Cartón-Llorente, Antonio
García-Pinillos, Felipe
Royo-Borruel, Jorge
Rubio-Peirotén, Alberto
Jaén-Carrillo, Diego
Roche-Seruendo, Luis E.
author_sort Cartón-Llorente, Antonio
collection PubMed
description Wearable technology has allowed for the real-time assessment of mechanical work employed in several sporting activities. Through novel power metrics, Functional Threshold Power have shown a reliable indicator of training intensities. This study aims to determine the relationship between mean power output (MPO) values obtained during three submaximal running time trials (i.e., 10 min, 20 min, and 30 min) and the functional threshold power (FTP). Twenty-two recreationally trained male endurance runners completed four submaximal running time trials of 10, 20, 30, and 60 min, trying to cover the longest possible distance on a motorized treadmill. Absolute MPO (W), normalized MPO (W/kg) and standard deviation (SD) were calculated for each time trial with a power meter device attached to the shoelaces. All simplified FTP trials analyzed (i.e., FTP10, FTP20, and FTP30) showed a significant association with the calculated FTP (p < 0.001) for both MPO and normalized MPO, whereas stronger correlations were found with longer time trials. Individual correction factors (ICF% = FTP60/FTPn) of ~90% for FTP10, ~94% for FTP20, and ~96% for FTP30 were obtained. The present study procures important practical applications for coaches and athletes as it provides a more accurate estimation of FTP in endurance running through less fatiguing, reproducible tests.
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spelling pubmed-78301042021-01-26 Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor Cartón-Llorente, Antonio García-Pinillos, Felipe Royo-Borruel, Jorge Rubio-Peirotén, Alberto Jaén-Carrillo, Diego Roche-Seruendo, Luis E. Sensors (Basel) Article Wearable technology has allowed for the real-time assessment of mechanical work employed in several sporting activities. Through novel power metrics, Functional Threshold Power have shown a reliable indicator of training intensities. This study aims to determine the relationship between mean power output (MPO) values obtained during three submaximal running time trials (i.e., 10 min, 20 min, and 30 min) and the functional threshold power (FTP). Twenty-two recreationally trained male endurance runners completed four submaximal running time trials of 10, 20, 30, and 60 min, trying to cover the longest possible distance on a motorized treadmill. Absolute MPO (W), normalized MPO (W/kg) and standard deviation (SD) were calculated for each time trial with a power meter device attached to the shoelaces. All simplified FTP trials analyzed (i.e., FTP10, FTP20, and FTP30) showed a significant association with the calculated FTP (p < 0.001) for both MPO and normalized MPO, whereas stronger correlations were found with longer time trials. Individual correction factors (ICF% = FTP60/FTPn) of ~90% for FTP10, ~94% for FTP20, and ~96% for FTP30 were obtained. The present study procures important practical applications for coaches and athletes as it provides a more accurate estimation of FTP in endurance running through less fatiguing, reproducible tests. MDPI 2021-01-15 /pmc/articles/PMC7830104/ /pubmed/33467511 http://dx.doi.org/10.3390/s21020582 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cartón-Llorente, Antonio
García-Pinillos, Felipe
Royo-Borruel, Jorge
Rubio-Peirotén, Alberto
Jaén-Carrillo, Diego
Roche-Seruendo, Luis E.
Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor
title Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor
title_full Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor
title_fullStr Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor
title_full_unstemmed Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor
title_short Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor
title_sort estimating functional threshold power in endurance running from shorter time trials using a 6-axis inertial measurement sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830104/
https://www.ncbi.nlm.nih.gov/pubmed/33467511
http://dx.doi.org/10.3390/s21020582
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