Literature DB >> 22296935

Gait asymmetry: composite scores for mechanical analyses of sprint running.

T A Exell1, M J R Gittoes, G Irwin, D G Kerwin.   

Abstract

Gait asymmetry analyses are beneficial from clinical, coaching and technology perspectives. Quantifying overall athlete asymmetry would be useful in allowing comparisons between participants, or between asymmetry and other factors, such as sprint running performance. The aim of this study was to develop composite kinematic and kinetic asymmetry scores to quantify athlete asymmetry during maximal speed sprint running. Eight male sprint trained athletes (age 22±5 years, mass 74.0±8.7 kg and stature 1.79±0.07 m) participated in this study. Synchronised sagittal plane kinematic and kinetic data were collected via a CODA motion analysis system, synchronised to two Kistler force plates. Bilateral, lower limb data were collected during the maximal velocity phase of sprint running (velocity=9.05±0.37 ms(-1)). Kinematic and kinetic composite asymmetry scores were developed using the previously established symmetry angle for discrete variables associated with successful sprint performance and comparisons of continuous joint power data. Unlike previous studies quantifying gait asymmetry, the scores incorporated intra-limb variability by excluding variables from the composite scores that did not display significantly larger (p<0.05) asymmetry than intra-limb variability. The variables that contributed to the composite scores and the magnitude of asymmetry observed for each measure varied on an individual participant basis. The new composite scores indicated the inter-participant differences that exist in asymmetry during sprint running and may serve to allow comparisons between overall athlete asymmetry with other important factors such as performance. Copyright Â
© 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22296935     DOI: 10.1016/j.jbiomech.2012.01.007

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


  8 in total

Review 1.  Gait Partitioning Methods: A Systematic Review.

Authors:  Juri Taborri; Eduardo Palermo; Stefano Rossi; Paolo Cappa
Journal:  Sensors (Basel)       Date:  2016-01-06       Impact factor: 3.576

2.  Footwear Decreases Gait Asymmetry during Running.

Authors:  Stefan Hoerzer; Peter A Federolf; Christian Maurer; Jennifer Baltich; Benno M Nigg
Journal:  PLoS One       Date:  2015-10-21       Impact factor: 3.240

3.  Neuromuscular features in sprinters with cerebral palsy: case studies based on paralympic classification.

Authors:  Diego Antunes; Mateus Rossato; Rafael Lima Kons; Raphael Luiz Sakugawa; Gabriela Fischer
Journal:  J Exerc Rehabil       Date:  2017-12-27

4.  Reliability and validity of CODA motion analysis system for measuring cervical range of motion in patients with cervical spondylosis and anterior cervical fusion.

Authors:  Zhongyang Gao; Hui Song; Fenggang Ren; Yuhuan Li; Dong Wang; Xijing He
Journal:  Exp Ther Med       Date:  2017-09-29       Impact factor: 2.447

5.  MoRe-T2 (mobility research trajectory tracker): validation and application.

Authors:  Chinemelu Ezeh; Catherine Holloway; Tom Carlson
Journal:  J Rehabil Assist Technol Eng       Date:  2016-11-22

6.  Running Velocity Does Not Influence Lower Limb Mechanical Asymmetry.

Authors:  Olivier Girard; Jean-Benoit Morin; Joong Ryu; Paul Read; Nathan Townsend
Journal:  Front Sports Act Living       Date:  2019-09-24

7.  On the Existence of Step-To-Step Breakpoint Transitions in Accelerated Sprinting.

Authors:  Gertjan Ettema; David McGhie; Jørgen Danielsen; Øyvind Sandbakk; Thomas Haugen
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

8.  Validation of Inter-Subject Training for Hidden Markov Models Applied to Gait Phase Detection in Children with Cerebral Palsy.

Authors:  Juri Taborri; Emilia Scalona; Eduardo Palermo; Stefano Rossi; Paolo Cappa
Journal:  Sensors (Basel)       Date:  2015-09-23       Impact factor: 3.576

  8 in total

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