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Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome?

With the development of new microsensor technology to assess load in sports, some indicators of external load through accelerometry-based data have been created by sport technology companies. Thus, the study aim was to analyze the agreement between different accelerometry-based external load indicat...

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Autores principales: Gómez-Carmona, Carlos D., Pino-Ortega, José, Sánchez-Ureña, Braulio, Ibáñez, Sergio J., Rojas-Valverde, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950167/
https://www.ncbi.nlm.nih.gov/pubmed/31847248
http://dx.doi.org/10.3390/ijerph16245101
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author Gómez-Carmona, Carlos D.
Pino-Ortega, José
Sánchez-Ureña, Braulio
Ibáñez, Sergio J.
Rojas-Valverde, Daniel
author_facet Gómez-Carmona, Carlos D.
Pino-Ortega, José
Sánchez-Ureña, Braulio
Ibáñez, Sergio J.
Rojas-Valverde, Daniel
author_sort Gómez-Carmona, Carlos D.
collection PubMed
description With the development of new microsensor technology to assess load in sports, some indicators of external load through accelerometry-based data have been created by sport technology companies. Thus, the study aim was to analyze the agreement between different accelerometry-based external load indicators (ABELIs) available in sport science. A U-16 male soccer team was assessed during three official matches, divided by periods, to obtain 3-D accelerometry data (x, y and z axes). An average of 1,420,000 data points was analyzed per axis per player. The ABELIs were calculated using this information, and the agreement between them was explored. The following ABELIs were considered after a literature review: AcelT, Player Load(RT), PlayerLoad(TM), Impulse Load, Player Load(RE) and Total Load. In order to compare ABELIs, two analyses were performed using: (1) absolute data; and (2) normalized and centered data (Z-scores). In absolute and centered data, very large to nearly perfect correlations (1st period: r > 0.803, p > 0.01; 2nd period: r > 0.919; p > 0.01) were found. Instead, very large differences were found in absolute values (bias = −579,226.6 to 285,931.1; t = −224.66 to 213.91, p < 0.01), and no differences in scaled and centered values (bias = 0; t = 1; p = 1). In conclusion, considering the different output (magnitude and units) among ABELIs, the standardization of a universal index to calculate accelerometer load is needed in order to make possible between-study comparison.
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spelling pubmed-69501672020-01-16 Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome? Gómez-Carmona, Carlos D. Pino-Ortega, José Sánchez-Ureña, Braulio Ibáñez, Sergio J. Rojas-Valverde, Daniel Int J Environ Res Public Health Article With the development of new microsensor technology to assess load in sports, some indicators of external load through accelerometry-based data have been created by sport technology companies. Thus, the study aim was to analyze the agreement between different accelerometry-based external load indicators (ABELIs) available in sport science. A U-16 male soccer team was assessed during three official matches, divided by periods, to obtain 3-D accelerometry data (x, y and z axes). An average of 1,420,000 data points was analyzed per axis per player. The ABELIs were calculated using this information, and the agreement between them was explored. The following ABELIs were considered after a literature review: AcelT, Player Load(RT), PlayerLoad(TM), Impulse Load, Player Load(RE) and Total Load. In order to compare ABELIs, two analyses were performed using: (1) absolute data; and (2) normalized and centered data (Z-scores). In absolute and centered data, very large to nearly perfect correlations (1st period: r > 0.803, p > 0.01; 2nd period: r > 0.919; p > 0.01) were found. Instead, very large differences were found in absolute values (bias = −579,226.6 to 285,931.1; t = −224.66 to 213.91, p < 0.01), and no differences in scaled and centered values (bias = 0; t = 1; p = 1). In conclusion, considering the different output (magnitude and units) among ABELIs, the standardization of a universal index to calculate accelerometer load is needed in order to make possible between-study comparison. MDPI 2019-12-13 2019-12 /pmc/articles/PMC6950167/ /pubmed/31847248 http://dx.doi.org/10.3390/ijerph16245101 Text en © 2019 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
Gómez-Carmona, Carlos D.
Pino-Ortega, José
Sánchez-Ureña, Braulio
Ibáñez, Sergio J.
Rojas-Valverde, Daniel
Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome?
title Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome?
title_full Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome?
title_fullStr Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome?
title_full_unstemmed Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome?
title_short Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome?
title_sort accelerometry-based external load indicators in sport: too many options, same practical outcome?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950167/
https://www.ncbi.nlm.nih.gov/pubmed/31847248
http://dx.doi.org/10.3390/ijerph16245101
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