Evidence map›Paper›PMID 39452798›Full record

ArticleMethods and protocols2024

Activity Identification, Classification, and Representation of Wheelchair Sport Court Tasks: A Method Proposal.

Mathieu Deves, Christophe Sauret, Ilona Alberca, Lorian Honnorat, Yoann Poulet, Arnaud Hays, Arnaud Faupin

Abstract read
In one paragraph

Article in Methods and protocols, 2024. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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.

  1. Review
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

7 authors.

Mathieu DevesLaboratoire Jeunesse Activité Physique et Sportive-Santé (J-AP2S), Université de Toulon, 83130 La Garde, France.
Christophe SauretCentre d'Etudes et de Recherche sur l'Appareillage des Handicapés (CERAH), Institution Nationale des Invalides, 75007 Paris, France.ORCID 0000-0002-6196-2698
Ilona AlbercaLaboratoire Jeunesse Activité Physique et Sportive-Santé (J-AP2S), Université de Toulon, 83130 La Garde, France.
Lorian HonnoratLaboratoire Jeunesse Activité Physique et Sportive-Santé (J-AP2S), Université de Toulon, 83130 La Garde, France.ORCID 0009-0000-5804-7627
Yoann PouletCentre d'Etudes et de Recherche sur l'Appareillage des Handicapés (CERAH), Institution Nationale des Invalides, 75007 Paris, France.
Arnaud HaysHealth Improvement Through Physical Exercice (HIPE) Human Lab, Aix Marseille Université, 13005 Marseille, France.
Arnaud FaupinLaboratoire Jeunesse Activité Physique et Sportive-Santé (J-AP2S), Université de Toulon, 83130 La Garde, France.ORCID 0000-0002-9399-6366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring player mobility in wheelchair sports is crucial for helping coaches understand activity dynamics and optimize training programs. However, the lack of data from monitoring tools, combined with a lack of standardized processing approaches and ineffective data presentation, limits their usability outside of research teams. To address these issues, this study aimed to propose a simple and efficient algorithm for identifying locomotor tasks (static, forward/backward propulsion, pivot/tight/wide rotation) during wheelchair movements, utilizing kinematic data from standard wheelchair mobility tests.

methodsEach participant's wheelchair was equipped with inertial measurement units-two on the wheel axes and one on the frame. A total of 36 wheelchair tennis and badminton players completed at least one of three proposed tests: the star test, the figure-of-eight test, and the forward/backward test. Locomotor tasks were identified using a five-step procedure involving data reduction, symbolic approximation, and logical pattern searching.

resultsThis method successfully identified 99% of locomotor tasks for the star test, 95% for the figure-of-eight test, and 100% for the forward/backward test.

conclusionThe proposed method offers a valuable tool for the simple and clear identification and representation of locomotor tasks over extended periods. Future research should focus on applying this method to wheelchair court sports matches and daily life scenarios.

Indexed as

monitoringparalympicperformancesymbolic aggregate approximation

Identifiers

PMID39452798
PMCPMC11510277

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Registered trials

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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.