Analysis of Whole-Body Coordination Patterning in Successful and Faulty Spikes Using Self-Organising-Map-Based Cluster Analyses: A Secondary Analysis

Sarvestan, J, Svoboda, Z, Alaei, F and Mulloy, Franky (2021) Analysis of Whole-Body Coordination Patterning in Successful and Faulty Spikes Using Self-Organising-Map-Based Cluster Analyses: A Secondary Analysis. Sensors, 21 (4). p. 1345. ISSN 1424-8220

Full content URL: https://doi.org/10.3390/s21041345

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Analysis of Whole-Body Coordination Patterning in Successful and Faulty Spikes Using Self-Organising-Map-Based Cluster Analyses: A Secondary Analysis
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Abstract

This study was designated to investigate the whole-body coordination patterning in successful and faulty spikes using Self-Organising-Map-Based Cluster Analyses. Ten young elite volleyball players (aged 15.5 ± 0.7 years) performed 60 volleyball spikes in real-game circumstances with two blocks. Adopting the cluster analysis based on a Self-Organising-Map, the whole body coordination patterning was explored between the successful and faulty spikes of individual players. The cluster analysis portrayed that the whole-body, upper-limbs and lower-limbs coordination patterning of each individual’s successful spikes were similar to his faulty spikes. The same condition was authenticated for the ROMs patterning. Nevertheless, the upper-limbs angular velocity patterning of the players’ successful/faulty spikes was similar. The SPM analysis also portrayed significant differences between the normalized upper-limbs angular velocities from 35% to 45% and from 76% to the end of the spike movement. Alt-hough the lower-limbs angular velocities are vital for achieving higher jumps in volleyball spike, the results of this study por-trayed that the upper-limbs angular velocities distinguish the differences between successful and faulty spikes among the attack-ers. This confirms the fact that volleyball coaches could shift their focus toward the upper-limbs’ strength and coordination training for higher success rates among the volleyball attackers.

Keywords:SOM, Angular velocity, Coordination, Volleyball spike, Supervised machine learning.
Subjects:C Biological Sciences > C600 Sports Science
Divisions:College of Social Science > School of Sport and Exercise Science
ID Code:44127
Deposited On:26 Feb 2021 12:47

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