Literature DB >> 24149630

Consistency in acceleration patterns of football players with different skill levels.

Pinar Arpinar-Avsar1, Abdullah Ruhi Soylu.   

Abstract

The aims of the present study were to compare the consistency in the lower limb acceleration patterns during inside and instep kicks performed by players with different skill levels, and to investigate the correlation between subjective rating scores for skill level relative to their kicking performance and knee acceleration repeatability. Thirteen club-level male soccer players of ages between 15-16 years participated in this study. Skill levels of individual players were quantified previously by evaluating shooting performance as a numerical value ranging from 1 to 10. Further evaluations were held through tri-axial acceleration data recorded at proximal tibial tuberosity beneath each patella on the players' knees, in a procedure in which players were asked to complete four randomly ordered shooting trials of inside and instep kicks with 2-minute resting intervals. Hence, the mainstream data used in consistency calculations are in the form 4 by 1200 matrices (acceleration vs. time) per subject. In order to evaluate the consistency of acceleration data, the mean of the standard deviations (mSD) were calculated, and the associated Pearson-r correlation coefficients were incorporated to obtain mSD vs. skill correlations. As a result, repeatability was found to increase with skill level at z-axis acceleration for instep kicks only. However, it is possible to find the most appropriate orientation (for the two kicks) for meaningful correlations using vector rotations on the 3 orthogonal acceleration data, and this study shows that, after such suitable vector rotations, positive repeatability results could also be acquired for the inside kicks. Key pointsThe repeatability of the acceleration waveforms are well correlated with the skill level of the subjects.Accelerometry might be used as an objective and cost effective assessment that allows interpreting consistency of the action.

Keywords:  Accelerometry; repeatability; skill level; soccer

Year:  2010        PMID: 24149630      PMCID: PMC3761716     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  16 in total

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Authors:  Wiebren Zijlstra; At L Hof
Journal:  Gait Posture       Date:  2003-10       Impact factor: 2.840

2.  The use of accelerometry to detect heel contact events for use as a sensor in FES assisted walking.

Authors:  Avril Mansfield; Gerard M Lyons
Journal:  Med Eng Phys       Date:  2003-12       Impact factor: 2.242

3.  Estimation of hip abduction moment based on body fixed sensors.

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4.  Muscular activity of different shooting distances, different release techniques, and different performance levels, with and without stabilizers, in target archery.

Authors:  J P Clarys; J Cabri; E Bollens; R Sleeckx; J Taeymans; M Vermeiren; G Van Reeth; G Voss
Journal:  J Sports Sci       Date:  1990       Impact factor: 3.337

5.  Repeatability of surface EMG during gait in children.

Authors:  Kevin P Granata; Darin A Padua; Mark F Abel
Journal:  Gait Posture       Date:  2005-01-08       Impact factor: 2.840

6.  Assessment of repeatability of surface electromyography signals by singular value decomposition.

Authors:  Abdullah Ruhi Soylu
Journal:  J Electromyogr Kinesiol       Date:  2007-04-16       Impact factor: 2.368

7.  A segment interaction analysis of proximal-to-distal sequential segment motion patterns.

Authors:  C A Putnam
Journal:  Med Sci Sports Exerc       Date:  1991-01       Impact factor: 5.411

8.  Comparison of the kinematics of the full-instep and pass kicks in soccer.

Authors:  J Levanon; J Dapena
Journal:  Med Sci Sports Exerc       Date:  1998-06       Impact factor: 5.411

9.  Test-retest reliability of trunk accelerometry during standing and walking.

Authors:  R Moe-Nilssen
Journal:  Arch Phys Med Rehabil       Date:  1998-11       Impact factor: 3.966

10.  An optimality criterion for processing electromyographic (EMG) signals relating to human locomotion.

Authors:  C Hershler; M Milner
Journal:  IEEE Trans Biomed Eng       Date:  1978-09       Impact factor: 4.538

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  1 in total

1.  The ball kicking speed: A new, efficient performance indicator in youth soccer.

Authors:  Ante Rađa; Goran Kuvačić; Andrea De Giorgio; Maha Sellami; Luca Paolo Ardigò; Nicola Luigi Bragazzi; Johnny Padulo
Journal:  PLoS One       Date:  2019-05-17       Impact factor: 3.240

  1 in total

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