Agreement between the spatiotemporal gait parameters from two different wearable devices and high-speed video analysis García-Pinillos, Felipe Pantoja Vallejo, Antonio This study aimed to evaluate the concurrent validity of two different inertial measurement units for measuring spatiotemporal parameters during running on a treadmill, by comparing data with a high-speed video analysis (VA) at 1,000 Hz. Forty-nine endurance runners performed a running protocol on a treadmill at comfortable velocity (i.e., 3.25 ± 0.36 m.s-1). Those wearable devices (i.e., Stryd™ and RunScribe™ systems) were compared to a highspeed VA, as a reference system for measuring spatiotemporal parameters (i.e. contact time [CT], flight time [FT], step frequency [SF] and step length [SL]) during running at comfortable velocity. The pairwise comparison revealed that the Stryd™ system underestimated CT (5.2%, p < 0.001) and overestimated FT (15.1%, p < 0.001) compared to the VA; whereas the RunScribe™ system underestimated CT (2.3%, p = 0.009). No significant differences were observed in SF and SL between the wearable devices and VA. The intra class correlation coefficient (ICC) revealed an almost perfect association between both systems and high-speed VA (ICC > 0.81). The Bland-Altman plots revealed heteroscedasticity of error (r 2 = 0.166) for the CT from the Stryd™ system, whereas no heteroscedasticity of error (r 2 < 0.1) was revealed in the rest of parameters. In conclusion, the results obtained suggest that both foot pods are valid tools for measuring spatiotemporal parameters during running on a treadmill at comfortable velocity. If the limits of agreement of both systems are considered in respect to high-speed VA, the RunScribe™ seems to be a more accurate system for measuring temporal parameters and SL than the Stryd™ system. 2020-06-09T12:17:24Z 2020-06-09T12:17:24Z 2019-09 info:eu-repo/semantics/article García-Pinillos F, Latorre-Román PA´, Soto-Hermoso VM, Párraga-Montilla JA, PantojaVallejo A, Ramírez-Campillo R, et al. (2019) Agreement between the spatiotemporal gait parameters from two different wearable devices and high-speed video analysis. PLoS ONE 14(9): e0222872. https://doi.org/10.1371/journal. pone.0222872 http://hdl.handle.net/10481/62401 https://doi.org/10.1371/journal. pone.0222872 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España Daniel Boullosa, University of Brasilia, BRAZIL