Sprint performance and mechanical outputs computed with an iPhone app: Comparison with existing reference methods.
The 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.
a Nursery and Physiotherapy Department , University of Balearic Islands , Palma de Mallorca , Spain.
Natalia
N
Romero-Franco
b Faculty of Sport , Catholic University of San Antonio , Murcia , Spain.
Pedro
P
Jiménez-Reyes
b Faculty of Sport , Catholic University of San Antonio , Murcia , Spain.
Adrián
A
Castaño-Zambudio
b Faculty of Sport , Catholic University of San Antonio , Murcia , Spain.
Fernando
F
Capelo-Ramírez
c Physiotherapy Department , Catholic University of San Antonio , Murcia , Spain.
Juan José
JJ
Rodríguez-Juan
b Faculty of Sport , Catholic University of San Antonio , Murcia , Spain.
Jorge
J
González-Hernández
b Faculty of Sport , Catholic University of San Antonio , Murcia , Spain.
Francisco Javier
FJ
Toscano-Bendala
d Alcalá de Henares University , Madrid , Spain.
Víctor
V
Cuadrado-Peñafiel
e Department of Sport Sciences , European University of Madrid , Madrid , Spain.
Carlos
C
Balsalobre-Fernández
D000293:Adolescent; D000328:Adult; D054874:Athletic Performance / Q000502:physiology*; D001696:Biomechanical Phenomena / Q000502:physiology; D006801:Humans; D008297:Male; D063731:Mobile Applications / Q000592:standards*; D015588:Observer Variation; D015203:Reproducibility of Results; D012420:Running / Q000502:physiology*; D000068997:Smartphone; D055815:Young Adult
Acceleration; biomechanics; technology; testing