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In-field assessment of change-of-direction ability with a single wearable sensor

The Agility T-test is a standardized method to measure the change-of-direction (COD) ability of athletes in the field. It is traditionally scored based on the total completion time, which does not provide information on the different CODs. Augmenting the T-test with wearable sensors provides the opp...

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Autores principales: Apte, Salil, Karami, Hojjat, Vallat, Célestin, Gremeaux, Vincent, Aminian, Kamiar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024719/
https://www.ncbi.nlm.nih.gov/pubmed/36934121
http://dx.doi.org/10.1038/s41598-023-30773-y
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author Apte, Salil
Karami, Hojjat
Vallat, Célestin
Gremeaux, Vincent
Aminian, Kamiar
author_facet Apte, Salil
Karami, Hojjat
Vallat, Célestin
Gremeaux, Vincent
Aminian, Kamiar
author_sort Apte, Salil
collection PubMed
description The Agility T-test is a standardized method to measure the change-of-direction (COD) ability of athletes in the field. It is traditionally scored based on the total completion time, which does not provide information on the different CODs. Augmenting the T-test with wearable sensors provides the opportunity to explore new metrics. Towards this, data of 23 professional soccer players were recorded with a trunk-worn GNSS-IMU (Global Navigation Satellite System-Inertial Measurement Unit) device. A method for detecting the four CODs based on the wavelet-denoised antero-posterior acceleration signal was developed and validated using video data (60 Hz). Following this, completion time was estimated using GNSS ground speed and validated with the photocell data. The proposed method yields an error (mean ± standard deviation) of 0 ± 66 ms for the COD detection, − 0.16 ± 0.22 s for completion time, and a relative error for each COD duration and each sequential movement durations of less than 3.5 ± 16% and 7 ± 7%, respectively. The presented algorithm can highlight the asymmetric performance between the phases and CODs in the right and left direction. By providing a more comprehensive analysis in the field, this work can enable coaches to develop more personalized training and rehabilitation programs.
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spelling pubmed-100247192023-03-20 In-field assessment of change-of-direction ability with a single wearable sensor Apte, Salil Karami, Hojjat Vallat, Célestin Gremeaux, Vincent Aminian, Kamiar Sci Rep Article The Agility T-test is a standardized method to measure the change-of-direction (COD) ability of athletes in the field. It is traditionally scored based on the total completion time, which does not provide information on the different CODs. Augmenting the T-test with wearable sensors provides the opportunity to explore new metrics. Towards this, data of 23 professional soccer players were recorded with a trunk-worn GNSS-IMU (Global Navigation Satellite System-Inertial Measurement Unit) device. A method for detecting the four CODs based on the wavelet-denoised antero-posterior acceleration signal was developed and validated using video data (60 Hz). Following this, completion time was estimated using GNSS ground speed and validated with the photocell data. The proposed method yields an error (mean ± standard deviation) of 0 ± 66 ms for the COD detection, − 0.16 ± 0.22 s for completion time, and a relative error for each COD duration and each sequential movement durations of less than 3.5 ± 16% and 7 ± 7%, respectively. The presented algorithm can highlight the asymmetric performance between the phases and CODs in the right and left direction. By providing a more comprehensive analysis in the field, this work can enable coaches to develop more personalized training and rehabilitation programs. Nature Publishing Group UK 2023-03-18 /pmc/articles/PMC10024719/ /pubmed/36934121 http://dx.doi.org/10.1038/s41598-023-30773-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Apte, Salil
Karami, Hojjat
Vallat, Célestin
Gremeaux, Vincent
Aminian, Kamiar
In-field assessment of change-of-direction ability with a single wearable sensor
title In-field assessment of change-of-direction ability with a single wearable sensor
title_full In-field assessment of change-of-direction ability with a single wearable sensor
title_fullStr In-field assessment of change-of-direction ability with a single wearable sensor
title_full_unstemmed In-field assessment of change-of-direction ability with a single wearable sensor
title_short In-field assessment of change-of-direction ability with a single wearable sensor
title_sort in-field assessment of change-of-direction ability with a single wearable sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024719/
https://www.ncbi.nlm.nih.gov/pubmed/36934121
http://dx.doi.org/10.1038/s41598-023-30773-y
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