A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load

While the Player Load is a widely-used parameter for physical demand quantification using wearable accelerometers, its calculation is subjected to potential errors related to rotational changes of the reference frame. The aims of this study were (i) to assess the concurrent validity of accelerometry...

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Autores principales: Hollville, Enzo, Couturier, Antoine, Guilhem, Gaël, Rabita, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153011/
https://www.ncbi.nlm.nih.gov/pubmed/34068169
http://dx.doi.org/10.3390/s21103398
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author Hollville, Enzo
Couturier, Antoine
Guilhem, Gaël
Rabita, Giuseppe
author_facet Hollville, Enzo
Couturier, Antoine
Guilhem, Gaël
Rabita, Giuseppe
author_sort Hollville, Enzo
collection PubMed
description While the Player Load is a widely-used parameter for physical demand quantification using wearable accelerometers, its calculation is subjected to potential errors related to rotational changes of the reference frame. The aims of this study were (i) to assess the concurrent validity of accelerometry-based Player Load against force plates; (ii) to validate a novel metric, the Accel’Rate overcoming this theoretical issue. Twenty-one recreational athlete males instrumented with two triaxial accelerometers positioned at the upper and lower back performed running-based locomotor movements at low and high intensity over six in-series force plates. We examined the validity of the Player Load and the Accel’Rate by using force plates. Standard error of the estimate was small to moderate for all tested conditions (Player Load: 0.45 to 0.87; Accel’Rate: 0.25 to 0.95). Accel’Rate displayed trivial to small mean biases (−1.0 to 6.1 a.u.) while the Player Load displayed systematic very large to extremely large mean biases (17.1 to 226.0 a.u.). These findings demonstrate a better concurrent validity of the Accel’Rate compared to the Player Load. This metric could be used to improve the estimation of whole-body mechanical load, easily accessible in sport training and competition settings.
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spelling pubmed-81530112021-05-27 A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load Hollville, Enzo Couturier, Antoine Guilhem, Gaël Rabita, Giuseppe Sensors (Basel) Article While the Player Load is a widely-used parameter for physical demand quantification using wearable accelerometers, its calculation is subjected to potential errors related to rotational changes of the reference frame. The aims of this study were (i) to assess the concurrent validity of accelerometry-based Player Load against force plates; (ii) to validate a novel metric, the Accel’Rate overcoming this theoretical issue. Twenty-one recreational athlete males instrumented with two triaxial accelerometers positioned at the upper and lower back performed running-based locomotor movements at low and high intensity over six in-series force plates. We examined the validity of the Player Load and the Accel’Rate by using force plates. Standard error of the estimate was small to moderate for all tested conditions (Player Load: 0.45 to 0.87; Accel’Rate: 0.25 to 0.95). Accel’Rate displayed trivial to small mean biases (−1.0 to 6.1 a.u.) while the Player Load displayed systematic very large to extremely large mean biases (17.1 to 226.0 a.u.). These findings demonstrate a better concurrent validity of the Accel’Rate compared to the Player Load. This metric could be used to improve the estimation of whole-body mechanical load, easily accessible in sport training and competition settings. MDPI 2021-05-13 /pmc/articles/PMC8153011/ /pubmed/34068169 http://dx.doi.org/10.3390/s21103398 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hollville, Enzo
Couturier, Antoine
Guilhem, Gaël
Rabita, Giuseppe
A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load
title A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load
title_full A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load
title_fullStr A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load
title_full_unstemmed A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load
title_short A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load
title_sort novel accelerometry-based metric to improve estimation of whole-body mechanical load
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153011/
https://www.ncbi.nlm.nih.gov/pubmed/34068169
http://dx.doi.org/10.3390/s21103398
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