Evidence map›Paper›PMID 34717749›Full record

ArticleBMC sports science, medicine & rehabilitation2021

Wavelet coherence as a measure of trunk stabilizer muscle activation in wheelchair fencers.

Monika Błaszczyszyn, Zbigniew Borysiuk, Katarzyna Piechota, Krzysztof Kręcisz, Dariusz Zmarzły

Open access · goldAbstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  6. Thermovision as a Tool for Athletes to Verify the Symmetry of Work of Individual Muscle Segments.International journal of environmental research and public health · 2022
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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

5 authors at 1 institution in 1 country.

Monika BłaszczyszynFaculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland. m.blaszczyszyn@po.edu.pl.
Zbigniew BorysiukFaculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland.
Katarzyna PiechotaFaculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland.
Krzysztof KręciszFaculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland.
Dariusz ZmarzłyFaculty of Electrical Engineering, Automatics and Computer Science, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland.
Opole University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntermuscular synchronization constitutes one of the key aspects of effective sport performance and activities of daily living. The aim of the study was to assess the synchronization of trunk stabilizer muscles in wheelchair fencers with the use of wavelet analysis.

methodsIntermuscular synchronization and antagonistic EMG-EMG coherence were evaluated in the pairs of the right and the left latissimus dorsi/external oblique abdominal (LD/EOA) muscles. The study group consisted of 16 wheelchair fencers, members of the Polish Paralympic Team, divided into two categories of disability (A and B). Data analysis was carried out in three stages: (1) muscle activation recording using sEMG; (2) wavelet coherence analysis; and (3) coherence density analysis.

resultsIn the Paralympic wheelchair fencers, regardless of their disability category, the muscles were activated at low frequency levels: 8-20 Hz for category A fencers, and 5-15 Hz for category B fencers.

conclusionsThe results demonstrated a clear activity of the trunk muscles in the wheelchair fencers, including those with spinal cord injury, which can be explained as an outcome of their intense training. EMG signal processing application have great potential for performance improvement and diagnosis of wheelchair athletes.

Indexed as

ElectromyographyFrequency levelsPara-athletesSpinal cord injuryWavelet analysis

Identifiers

PMID34717749
PMCPMC8557511
OpenAlexW3208173016

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.