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, José

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

dc.contributor.author	Rojas-Valverde ‍, Daniel
dc.contributor.author	Gómez-Carmona, Carlos D
dc.contributor.author	Gutiérrez-Vargas, Randall
dc.contributor.author	Pino Ortega, José
dc.contributor.department	Actividad Física y Deporte
dc.date.accessioned	2025-01-22T09:06:34Z
dc.date.available	2025-01-22T09:06:34Z
dc.date.issued	2025-01-21
dc.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
dc.description.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.	es
dc.format	application/pdf	es
dc.format.extent	3	es
dc.identifier.citation	BMJ Open Sport & Exercise Medicine 2019 5:e000565.
dc.identifier.doi	https://doi.org/10.1136/bmjsem-2019-000565
dc.identifier.issn	2055-7647
dc.identifier.uri	http://hdl.handle.net/10201/149026
dc.language	spa	es
dc.publisher	BMJ Journals
dc.relation	Sin financiación externa a la Universidad	es
dc.relation.publisherversion	https://bmjopensem.bmj.com/content/5/1/e000565
dc.rights	Atribución-NoComercial 4.0 Internacional	*
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc/4.0/	*
dc.subject	Sport
dc.subject	Raw
dc.subject	Bid data	es
dc.title	From big data mining to technical sport reports: the case of inertial measurement units	es
dc.type	info:eu-repo/semantics/article	es
dspace.entity.type	Publication	es
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relation.isAuthorOfPublication.latestForDiscovery	17c699c9-0105-45af-894e-d90b24f87dc1