Publication: From big data mining to technical sport reports: the case of inertial measurement units
Authors
Rojas-Valverde , Daniel ; Gómez-Carmona, Carlos D ; Gutiérrez-Vargas, Randall ; Pino Ortega, José
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Publisher
BMJ Journals
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DOI
https://doi.org/10.1136/bmjsem-2019-000565
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info:eu-repo/semantics/article
Description
© 2019 Authors
This document is the published version of a published work that appeared in final form in BMJ Open Sport & Exercise Medicine
This document is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc/4.0
To access the final edited and published work see:
https://doi.org/10.1136/bmjsem-2019-000565
Abstract
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.
Citation
BMJ Open Sport & Exercise Medicine 2019 5:e000565.
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