Literature DB >> 26177053

Reliability and validity of the Myotest® for measuring running stride kinematics.

Cyrille Gindre1, Thibault Lussiana1,2, Kim Hebert-Losier3, Jean-Benoit Morin4.   

Abstract

Accelerometer-based systems are often used to quantify human movement. This study's aim was to assess the reliability and validity of the Myotest® accelerometer-based system for measuring running stride kinematics. Twenty habitual runners ran two 60 m trials at 12, 15, 18 and 21 km·h(-1). Contact time, aerial time and step frequency parameters from six consecutive running steps of each trial were extracted using Myotest® data. Between-trial reproducibility of measures was determined by comparing kinematic parameters from the two runs performed at the same speed. Myotest® measures were compared against photocell-based (Optojump Next®) and high-frequency video data to establish concurrent validity. The Myotest®-derived parameters were highly reproducible between trials at all running speeds (intra-class correlation coefficient (ICC): 0.886 to 0.974). Compared to the photo-cell and high-speed video-based measures, the mean contact times from the Myotest® were 34% shorter and aerial times were 64% longer. Only step frequency was comparable between systems and demonstrated high between-system correlation (ICC ≥ 0.857). The Myotest® is a practical portable device that is reliable for measuring contact time, aerial time and step frequency during running. In terms of validity, it provides accurate step frequency measures but underestimates contact time and overestimates aerial time compared to photocell- and optical-based systems.

Entities:  

Keywords:  Running; biomechanics; concurrent validity; reliability; technology

Mesh:

Year:  2015        PMID: 26177053     DOI: 10.1080/02640414.2015.1068436

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  7 in total

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Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

2.  Wearables for Running Gait Analysis: A Systematic Review.

Authors:  Rachel Mason; Liam T Pearson; Gillian Barry; Fraser Young; Oisin Lennon; Alan Godfrey; Samuel Stuart
Journal:  Sports Med       Date:  2022-10-15       Impact factor: 11.928

3.  Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis.

Authors:  Ziwei Zeng; Yue Liu; Xiaoyue Hu; Meihua Tang; Lin Wang
Journal:  Sports Med Open       Date:  2022-06-27

4.  Validity and Reliability of 2-Dimensional Video-Based Assessment to Analyze Foot Strike Pattern and Step Rate During Running: A Systematic Review.

Authors:  Fábio Carlos Lucas de Oliveira; Anny Fredette; Sherezada Ochoa Echeverría; Charles Sebiyo Batcho; Jean-Sébastien Roy
Journal:  Sports Health       Date:  2019-05-30       Impact factor: 3.843

5.  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

6.  A Single Sacral-Mounted Inertial Measurement Unit to Estimate Peak Vertical Ground Reaction Force, Contact Time, and Flight Time in Running.

Authors:  Aurélien Patoz; Thibault Lussiana; Bastiaan Breine; Cyrille Gindre; Davide Malatesta
Journal:  Sensors (Basel)       Date:  2022-01-20       Impact factor: 3.576

7.  Duty Factor Is a Viable Measure to Classify Spontaneous Running Forms.

Authors:  Aurélien Patoz; Cyrille Gindre; Adrien Thouvenot; Laurent Mourot; Kim Hébert-Losier; Thibault Lussiana
Journal:  Sports (Basel)       Date:  2019-11-10
  7 in total

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