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

Authors

  • Daniel Rojas-Valverde Centro de Investigación y Diagnóstico en Salud y Deporte, Escuela Ciencias del Movimiento Humano y Calidad de Vida, Universidad Nacional de Costa Rica, Heredia, Costa Rica PubMed articlesGoogle scholar articles
  • Carlos D Gómez-Carmona Physical Activity and Sport Department, University of Extremadura, Caceres, Spain PubMed articlesGoogle scholar articles
  • Randall Gutiérrez-Vargas Centro de Investigación y Diagnóstico en Salud y Deporte, Escuela Ciencias del Movimiento Humano y Calidad de Vida, Universidad Nacional de Costa Rica, Heredia, Costa Rica PubMed articlesGoogle scholar articles
  • Jose Pino-Ortega BioVetMed & SportSci Research Group, Department of Physical Activity and Sport, Universidad de Murcia, Murcia, Spain PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Daniel Rojas-Valverde; drojasv{at}hotmail.com
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Citation

Rojas-Valverde D, Gómez-Carmona CD, Gutiérrez-Vargas R, et al
From big data mining to technical sport reports: the case of inertial measurement units
BMJ Open Sport & Exercise Medicine 2019;5:e000565. doi: 10.1136/bmjsem-2019-000565

Publication history

  • Accepted May 29, 2019
  • First published October 1, 2019.
Online issue publication 
June 09, 2021

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Copyright information

© 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/.