SIMULATION OF THE RELATIONSHIP BETWEEN JOINT MOTION AMPLITUDE AND MOTION DAMAGE BASED ON ALGORITHM
Autor(a) principal: | |
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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. |
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Revista brasileira de medicina do esporte (Online) |
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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 |