SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM

Detalhes bibliográficos
Autor(a) principal: Zhong,Shubo
Data de Publicação: 2021
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de medicina do esporte (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000500514
Resumo: ABSTRACT Introduction: With the continuous development of society and the continuous improvement of the economic level, the willingness of Chinese people to participate in sports is also showing an upward trend. However, how to reduce sports damage as much as possible during exercise should be a hot issue of particular concern to athletes in the sports world. Objective: It aimed to discuss the simulation of the relationship between joint motion amplitude (JMA) and motion damage (MD) via a rough set decision-making algorithm to avoid MD. Based on the rough set decision algorithm, JMA and MD models were constructed, and a motion data decision table was established. Methods: Joint change parameters and constraint conditions were set, and joint change parameters were analyzed. Moreover, the changing parameters, feature strength, and algorithm partition accuracy of the simulation model were analyzed. Results: The feature strength and the division accuracy of the rough set decision algorithm all showed good accuracy. The model constructed by such a method can well describe the relationship between JMA and MD. Conclusion: The proposed rough set decision algorithm can describe the relationship between JMA and MD scientifically and effectively, which provided reference value for sports. Level of evidence II; Therapeutic studies - investigation of treatment results.
id SBMEE-1_5a66f07e3aafc12b57b58a4d27d7818f
oai_identifier_str oai:scielo:S1517-86922021000500514
network_acronym_str SBMEE-1
network_name_str Revista brasileira de medicina do esporte (Online)
repository_id_str
spelling SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHMRange of motion, articularMovementDecision treesABSTRACT Introduction: With the continuous development of society and the continuous improvement of the economic level, the willingness of Chinese people to participate in sports is also showing an upward trend. However, how to reduce sports damage as much as possible during exercise should be a hot issue of particular concern to athletes in the sports world. Objective: It aimed to discuss the simulation of the relationship between joint motion amplitude (JMA) and motion damage (MD) via a rough set decision-making algorithm to avoid MD. Based on the rough set decision algorithm, JMA and MD models were constructed, and a motion data decision table was established. Methods: Joint change parameters and constraint conditions were set, and joint change parameters were analyzed. Moreover, the changing parameters, feature strength, and algorithm partition accuracy of the simulation model were analyzed. Results: The feature strength and the division accuracy of the rough set decision algorithm all showed good accuracy. The model constructed by such a method can well describe the relationship between JMA and MD. Conclusion: The proposed rough set decision algorithm can describe the relationship between JMA and MD scientifically and effectively, which provided reference value for sports. Level of evidence II; Therapeutic studies - investigation of treatment results.Sociedade Brasileira de Medicina do Exercício e do Esporte2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000500514Revista Brasileira de Medicina do Esporte v.27 n.5 2021reponame:Revista brasileira de medicina do esporte (Online)instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)instacron:SBMEE10.1590/1517-8692202127042021_0121info:eu-repo/semantics/openAccessZhong,Shuboeng2021-11-24T00:00:00Zoai:scielo:S1517-86922021000500514Revistahttp://www.scielo.br/rbmeONGhttps://old.scielo.br/oai/scielo-oai.php||revista@medicinadoesporte.org.br1806-99401517-8692opendoar:2021-11-24T00:00Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)false
dc.title.none.fl_str_mv SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
title SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
spellingShingle SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
Zhong,Shubo
Range of motion, articular
Movement
Decision trees
title_short SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
title_full SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
title_fullStr SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
title_full_unstemmed SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
title_sort SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
author Zhong,Shubo
author_facet Zhong,Shubo
author_role author
dc.contributor.author.fl_str_mv Zhong,Shubo
dc.subject.por.fl_str_mv Range of motion, articular
Movement
Decision trees
topic Range of motion, articular
Movement
Decision trees
description ABSTRACT Introduction: With the continuous development of society and the continuous improvement of the economic level, the willingness of Chinese people to participate in sports is also showing an upward trend. However, how to reduce sports damage as much as possible during exercise should be a hot issue of particular concern to athletes in the sports world. Objective: It aimed to discuss the simulation of the relationship between joint motion amplitude (JMA) and motion damage (MD) via a rough set decision-making algorithm to avoid MD. Based on the rough set decision algorithm, JMA and MD models were constructed, and a motion data decision table was established. Methods: Joint change parameters and constraint conditions were set, and joint change parameters were analyzed. Moreover, the changing parameters, feature strength, and algorithm partition accuracy of the simulation model were analyzed. Results: The feature strength and the division accuracy of the rough set decision algorithm all showed good accuracy. The model constructed by such a method can well describe the relationship between JMA and MD. Conclusion: The proposed rough set decision algorithm can describe the relationship between JMA and MD scientifically and effectively, which provided reference value for sports. Level of evidence II; Therapeutic studies - investigation of treatment results.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000500514
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000500514
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1517-8692202127042021_0121
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
dc.source.none.fl_str_mv Revista Brasileira de Medicina do Esporte v.27 n.5 2021
reponame:Revista brasileira de medicina do esporte (Online)
instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron:SBMEE
instname_str Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron_str SBMEE
institution SBMEE
reponame_str Revista brasileira de medicina do esporte (Online)
collection Revista brasileira de medicina do esporte (Online)
repository.name.fl_str_mv Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
repository.mail.fl_str_mv ||revista@medicinadoesporte.org.br
_version_ 1752122237716004864