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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8153011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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