Literature DB >> 31376978

A simple method for computing sprint acceleration kinetics from running velocity data: Replication study with improved design.

Jean-Benoit Morin1, Pierre Samozino2, Munenori Murata3, Matt R Cross4, Ryu Nagahara3.   

Abstract

Measuring the ground reaction forces (GRF) underlying sprint acceleration is important to understanding the performance of such a common task. Until recently direct measurements of GRF during sprinting were limited to a few steps per trial, but a simple method (SM) was developed to estimate GRF across an entire acceleration. The SM utilizes displacement- or velocity-time data and basic computations applied to the runner's center of mass and was validated against compiled force plate (FP) measurements; however, this validation used multiple-trials to generate a single acceleration profile, and consequently fatigue and error may have introduced noise into the analyses. In this study, we replicated the original validation by comparing the main sprint kinetics and force-velocity-power variables (e.g. GRF and its horizontal and vertical components, mechanical power output, ratio of horizontal component to resultant GRF) between synchronized FP data from a single sprinting acceleration and SM data derived from running velocity measured with a 100 Hz laser. These analyses were made possible thanks to a newly developed 50-m FP system providing seamless GRF data during a single sprint acceleration. Sixteen trained male sprinters performed two all-out 60-m sprints. We observed good agreement between the two methods for kinetic variables (e.g. grand average bias of 4.71%, range 0.696 ± 0.540-8.26 ± 5.51%), and high inter-trial reliability (grand average standard error of measurement of 2.50% for FP and 2.36% for the SM). This replication study clearly shows that when implemented correctly, this method accurately estimates sprint acceleration kinetics.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Force; Force platform; Power; Running; Sports performance

Year:  2019        PMID: 31376978     DOI: 10.1016/j.jbiomech.2019.07.020

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  11 in total

1.  Level of Agreement, Reliability, and Minimal Detectable Change of the MusclelabTM Laser Speed Device on Force-Velocity-Power Sprint Profiles in Division II Collegiate Athletes.

Authors:  Jamie J Ghigiarelli; Keith J Ferrara; Kevin M Poblete; Carl F Valle; Adam M Gonzalez; Katie M Sell
Journal:  Sports (Basel)       Date:  2022-04-08

2.  Sprint Specificity of Isolated Hamstring-Strengthening Exercises in Terms of Muscle Activity and Force Production.

Authors:  Caroline Prince; Jean-Benoît Morin; Jurdan Mendiguchia; Johan Lahti; Kenny Guex; Pascal Edouard; Pierre Samozino
Journal:  Front Sports Act Living       Date:  2021-01-21

3.  Differences in the Force Velocity Mechanical Profile and the Effectiveness of Force Application During Sprint-Acceleration Between Sprinters and Hurdlers.

Authors:  Ioannis Stavridis; Ilias Smilios; Angela Tsopanidou; Theodosia Economou; Giorgos Paradisis
Journal:  Front Sports Act Living       Date:  2019-09-12

4.  Changes in sprint performance and sagittal plane kinematics after heavy resisted sprint training in professional soccer players.

Authors:  Johan Lahti; Toni Huuhka; Valentin Romero; Ian Bezodis; Jean-Benoit Morin; Keijo Häkkinen
Journal:  PeerJ       Date:  2020-12-15       Impact factor: 2.984

5.  Validity of Velocity Measurements of a Motorized Resistance Device During Change of Direction.

Authors:  Ola Eriksrud; Fredrik Ahlbeck; Damian Harper; Øyvind Gløersen
Journal:  Front Physiol       Date:  2022-02-24       Impact factor: 4.566

6.  A Comparison of Sprint Mechanical Parameters Measured With Timing Gates and a Laser Gun.

Authors:  Roland van den Tillaar; Markus Estifanos Haugen; Hallvard Nygaard Falch
Journal:  Front Sports Act Living       Date:  2022-04-13

7.  Hip Torque Is a Mechanistic Link Between Sprint Acceleration and Maximum Velocity Performance: A Theoretical Perspective.

Authors:  Kenneth P Clark; Laurence J Ryan
Journal:  Front Sports Act Living       Date:  2022-07-12

8.  Sprint and Jump Mechanical Profiles in Academy Rugby League Players: Positional Differences and the Associations between Profiles and Sprint Performance.

Authors:  Ben Nicholson; Alex Dinsdale; Ben Jones; Kevin Till
Journal:  Sports (Basel)       Date:  2021-06-25

9.  Individual Sprint Force-Velocity Profile Adaptations to In-Season Assisted and Resisted Velocity-Based Training in Professional Rugby.

Authors:  Johan Lahti; Pedro Jiménez-Reyes; Matt R Cross; Pierre Samozino; Patrick Chassaing; Benjamin Simond-Cote; Juha Ahtiainen; Jean-Benoit Morin
Journal:  Sports (Basel)       Date:  2020-05-25

10.  Low Horizontal Force Production Capacity during Sprinting as a Potential Risk Factor of Hamstring Injury in Football.

Authors:  Pascal Edouard; Johan Lahti; Ryu Nagahara; Pierre Samozino; Laurent Navarro; Kenny Guex; Jérémy Rossi; Matt Brughelli; Jurdan Mendiguchia; Jean-Benoît Morin
Journal:  Int J Environ Res Public Health       Date:  2021-07-23       Impact factor: 4.614

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