Literature DB >> 29781934

Absolute Reliability and Concurrent Validity of the Stryd System for the Assessment of Running Stride Kinematics at Different Velocities.

Felipe García-Pinillos1, Luis E Roche-Seruendo2, Noel Marcén-Cinca2, Luis A Marco-Contreras2, Pedro A Latorre-Román3.   

Abstract

ABSTRACT: García-Pinillos, F, Roche-Seruendo, LE, Marcen-Cinca, N, Marco-Contreras, LA, and Latorre-Román, PA. Absolute reliability and concurrent validity of the Stryd system for the assessment of running stride kinematics at different velocities. J Strength Cond Res 35(1): 78-84, 2021-This study aimed to determine the absolute reliability and to evaluate the concurrent validity of the Stryd system for measuring spatiotemporal variables during running at different velocities (8-20 km·h-1) by comparing data with another widely used device (the OptoGait system). Eighteen trained male endurance runners performed an incremental running test (8-20 km·h-1 with 3-minute stages) on a treadmill. Spatiotemporal parameters (contact time [CT], flight time [FT], step length [SL], and step frequency [SF]) were measured using 2 different devices (Stryd and OptoGait systems). The Stryd system showed a coefficient of variation (CV) <3%, except for FT (3.7-11.6%). The OptoGait achieved CV <4%, except for FT (6.0-30.6%). Pearson correlation analysis showed large correlations for CT and FT, and almost perfect for SL and SF over the entire protocol. The intraclass correlation coefficients partially support those results. Paired t-tests showed that CT was underestimated (p < 0.05, effect size [ES] > 0.7; ∼4-8%), FT overestimated (p < 0.05, ES > 0.7; ∼7-65%), whereas SL and SF were very similar between systems (ES < 0.1, with differences <1%). The Stryd is a practical portable device that is reliable for measuring CT, FT, SL, and SF during running. It provides accurate SL and SF measures but underestimates CT (0.5-8%) and overestimates FT (3-67%) compared with a photocell-based system.
Copyright © 2018 National Strength and Conditioning Association.

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Year:  2021        PMID: 29781934     DOI: 10.1519/JSC.0000000000002595

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  7 in total

1.  Influence of the Shod Condition on Running Power Output: An Analysis in Recreationally Active Endurance Runners.

Authors:  Diego Jaén-Carrillo; Luis E Roche-Seruendo; Alejandro Molina-Molina; Silvia Cardiel-Sánchez; Antonio Cartón-Llorente; Felipe García-Pinillos
Journal:  Sensors (Basel)       Date:  2022-06-26       Impact factor: 3.847

2.  Agreement between the spatiotemporal gait parameters from two different wearable devices and high-speed video analysis.

Authors:  Felipe García-Pinillos; Pedro Á Latorre-Román; Víctor M Soto-Hermoso; Juan A Párraga-Montilla; Antonio Pantoja-Vallejo; Rodrigo Ramírez-Campillo; Luis E Roche-Seruendo
Journal:  PLoS One       Date:  2019-09-24       Impact factor: 3.240

3.  Foot Strike Angle Prediction and Pattern Classification Using LoadsolTM Wearable Sensors: A Comparison of Machine Learning Techniques.

Authors:  Stephanie R Moore; Christina Kranzinger; Julian Fritz; Thomas Stӧggl; Josef Krӧll; Hermann Schwameder
Journal:  Sensors (Basel)       Date:  2020-11-25       Impact factor: 3.576

4.  The Relationship between VO2max, Power Management, and Increased Running Speed: Towards Gait Pattern Recognition through Clustering Analysis.

Authors:  Juan Pardo Albiach; Melanie Mir-Jimenez; Vanessa Hueso Moreno; Iván Nácher Moltó; Javier Martínez-Gramage
Journal:  Sensors (Basel)       Date:  2021-04-01       Impact factor: 3.576

5.  Acute effects of a 60-min time trial on power-related parameters in trained endurance runners.

Authors:  Antonio Cartón-Llorente; Luis E Roche-Seruendo; Elena Mainer-Pardos; Hadi Nobari; Alberto Rubio-Peirotén; Diego Jaén-Carrillo; Felipe García-Pinillos
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-07-24

6.  Validation of the RunScribe inertial measurement unit for walking gait measurement.

Authors:  Max Lewin; Carina Price; Christopher Nester
Journal:  PLoS One       Date:  2022-08-22       Impact factor: 3.752

Review 7.  Mechanical Power in Endurance Running: A Scoping Review on Sensors for Power Output Estimation during Running.

Authors:  Diego Jaén-Carrillo; Luis E Roche-Seruendo; Antonio Cartón-Llorente; Rodrigo Ramírez-Campillo; Felipe García-Pinillos
Journal:  Sensors (Basel)       Date:  2020-11-13       Impact factor: 3.576

  7 in total

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