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dc.contributor.authorRomero Franco, Natalia
dc.contributor.authorJiménez Reyes, Pedro
dc.contributor.authorCastaño Zambudio, Adrián
dc.contributor.authorCapelo Ramírez, Fernando
dc.contributor.authorRodríguez Juan, Juan José
dc.contributor.authorGonzález Hernández, Jorge
dc.date.accessioned2018-05-14T09:33:21Z
dc.date.available2018-05-14T09:33:21Z
dc.date.issued2016-11-03
dc.identifier.citationRomero-Franco, N., Jiménez-Reyes, P., Castaño-Zambudio, A., Capelo-Ramírez, F., Rodríguez-Juan, J. J., González-Hernández, J., ... & Balsalobre-Fernández, C. (2017). Sprint performance and mechanical outputs computed with an iPhone app: Comparison with existing reference methods. European journal of sport science, 17(4), 386-392.es
dc.identifier.other10.1080/17461391.2016.1249031
dc.identifier.urihttp://hdl.handle.net/10952/3156
dc.description.abstractThe purpose of this study was to assess validity and reliability of sprint performance outcomes measured with an iPhone application (named: MySprint) and existing field methods (i.e. timing photocells and radar gun). To do this, 12 highly trained male sprinters performed 6 maximal 40-m sprints during a single session which were simultaneously timed using 7 pairs of timing photocells, a radar gun and a newly developed iPhone app based on high-speed video recording. Several split times as well as mechanical outputs computed from the model proposed by Samozino et al. [(2015). A simple method for measuring power, force, velocity properties, and mechanical effectiveness in sprint running. Scandinavian Journal of Medicine & Science in Sports. https://doi.org/10.1111/sms.12490] were then measured by each system, and values were compared for validity and reliability purposes. First, there was an almost perfect correlation between the values of time for each split of the 40-m sprint measured with MySprint and the timing photocells (r = 0.989–0.999, standard error of estimate = 0.007–0.015 s, intraclass correlation coefficient (ICC) = 1.0). Second, almost perfect associations were observed for the maximal theoretical horizontal force (F0), the maximal theoretical velocity (V0), the maximal power (Pmax) and the mechanical effectiveness (DRF – decrease in the ratio of force over acceleration) measured with the app and the radar gun (r = 0.974–0.999, ICC = 0.987–1.00). Finally, when analysing the performance outputs of the six different sprints of each athlete, almost identical levels of reliability were observed as revealed by the coefficient of variation (MySprint: CV = 0.027–0.14%; reference systems: CV = 0.028–0.11%). Results on the present study showed that sprint performance can be evaluated in a valid and reliable way using a novel iPhone app.es
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAccelerationes
dc.subjectTechnologyes
dc.subjectBiomechanicses
dc.subjectTestinges
dc.titleSprint performance and mechanical outputs computed with an iPhone app: Comparison with existing reference methodses
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleEuropean Journal of Sport Sciencees
dc.volume.number17es
dc.issue.number4es
dc.description.disciplineActividad Física y Deportees


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