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From big data mining to technical sport reports: the case of inertial measurement units

The inertial measurement units (IMU) are instruments used to quantify the external load of athletes; they are increasingly common in assessing team and individual sports. This type of instruments has several sensors, such as accelerometers, gyroscopes and magnetometers; this allows access to a large...

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Autores principales: Rojas-Valverde, Daniel, Gómez-Carmona, Carlos D, Gutiérrez-Vargas, Randall, Pino-Ortega, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797247/
https://www.ncbi.nlm.nih.gov/pubmed/31673403
http://dx.doi.org/10.1136/bmjsem-2019-000565
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author Rojas-Valverde, Daniel
Gómez-Carmona, Carlos D
Gutiérrez-Vargas, Randall
Pino-Ortega, Jose
author_facet Rojas-Valverde, Daniel
Gómez-Carmona, Carlos D
Gutiérrez-Vargas, Randall
Pino-Ortega, Jose
author_sort Rojas-Valverde, Daniel
collection PubMed
description The inertial measurement units (IMU) are instruments used to quantify the external load of athletes; they are increasingly common in assessing team and individual sports. This type of instruments has several sensors, such as accelerometers, gyroscopes and magnetometers; this allows access to a large amount of information and analysis possibilities. Due to the complexity of synthesising this data, it is necessary to create a flow for collecting, analysing and presenting the collected data in a simple way and present it as quickly as possible to the technical staff. This report aims to present new methods of reduction of the data and propose a new approach method for the analysis of the IMU’s outcomes.
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spelling pubmed-67972472019-10-31 From big data mining to technical sport reports: the case of inertial measurement units Rojas-Valverde, Daniel Gómez-Carmona, Carlos D Gutiérrez-Vargas, Randall Pino-Ortega, Jose BMJ Open Sport Exerc Med Viewpoint The inertial measurement units (IMU) are instruments used to quantify the external load of athletes; they are increasingly common in assessing team and individual sports. This type of instruments has several sensors, such as accelerometers, gyroscopes and magnetometers; this allows access to a large amount of information and analysis possibilities. Due to the complexity of synthesising this data, it is necessary to create a flow for collecting, analysing and presenting the collected data in a simple way and present it as quickly as possible to the technical staff. This report aims to present new methods of reduction of the data and propose a new approach method for the analysis of the IMU’s outcomes. BMJ Publishing Group 2019-10-01 /pmc/articles/PMC6797247/ /pubmed/31673403 http://dx.doi.org/10.1136/bmjsem-2019-000565 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Viewpoint
Rojas-Valverde, Daniel
Gómez-Carmona, Carlos D
Gutiérrez-Vargas, Randall
Pino-Ortega, Jose
From big data mining to technical sport reports: the case of inertial measurement units
title From big data mining to technical sport reports: the case of inertial measurement units
title_full From big data mining to technical sport reports: the case of inertial measurement units
title_fullStr From big data mining to technical sport reports: the case of inertial measurement units
title_full_unstemmed From big data mining to technical sport reports: the case of inertial measurement units
title_short From big data mining to technical sport reports: the case of inertial measurement units
title_sort from big data mining to technical sport reports: the case of inertial measurement units
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797247/
https://www.ncbi.nlm.nih.gov/pubmed/31673403
http://dx.doi.org/10.1136/bmjsem-2019-000565
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