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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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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. |
format | Online Article Text |
id | pubmed-6797247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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