Evidence map›Paper›PMID 33672802›Full record

ArticleSensors (Basel, Switzerland)2021

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

Javad Sarvestan, Zdeněk Svoboda, Fatemeh Alaei, Franky Mulloy

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Javad SarvestanDepartment of Natural Sciences in Kinanthropology, Faculty of Physical Culture, Palacky University Olomouc, 779 00 Olomouc, Czech Republic.ORCID 0000-0001-8589-2420
Zdeněk SvobodaDepartment of Natural Sciences in Kinanthropology, Faculty of Physical Culture, Palacky University Olomouc, 779 00 Olomouc, Czech Republic.
Fatemeh AlaeiDepartment of Natural Sciences in Kinanthropology, Faculty of Physical Culture, Palacky University Olomouc, 779 00 Olomouc, Czech Republic.
Franky MulloySchool of Sport and Exercise Science, University of Lincoln, Lincolnshire LN6 7TS, UK.ORCID 0000-0002-5110-5633
Palacký University Olomouc · CZUniversity of Lincoln · GB

Funding

Univerzita Palackého v Olomouci IGA_FTK_2019_008
6 · The paper itself

Abstract

This study investigated the whole-body coordination patterning in successful and faulty spikes using self-organising map-based cluster analysis. Ten young, elite volleyball players (aged 15.5 ± 0.7 years) performed 60 volleyball spikes in a real-game environment. Adopting the cluster analysis, based on a self-organising map, whole-body coordination patterning was explored between successful and faulty spikes of individual players. The self-organising maps (SOMs) portrayed whole body, lower and upper limb coordination dissimilarities during the jump phase and the ball impact phases between the successful and faulty spikes. The cluster analysis illustrated that the whole body, upper limb and lower limb coordination patterning of each individual's successful spikes were similar to their faulty spikes. Range of motion patterning also demonstrated no differences in kinematics between spike outcomes. Further, the upper limb angular velocity patterning of the players' successful/faulty spikes were similar. The SPM analysis portrayed significant differences between the normalized upper limb angular velocities from 35% to 45% and from 76% to 100% of the spike movement. Although the lower limb angular velocities are vital for achieving higher jumps in volleyball spikes, the results of this study portrayed that the upper limb angular velocities distinguish the differences between successful and faulty spikes among the attackers. This confirms the fact that volleyball coaches should shift their focus toward the upper limb velocity and coordination training for higher success rates in spiking for volleyball attackers.

Indexed as

Athletic PerformanceVolleyballAdolescentBiomechanical PhenomenaCluster AnalysisHumansLower ExtremityMovementRange of Motion, Articularangular velocitycoordinationSOMunsupervised machine learningvolleyball spike

Identifiers

PMID33672802
PMCPMC7917820
OpenAlexW3131599549

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.