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Application of Image Processing Technology in Aerobics Injury Diagnosis

Aerobics sports injury diagnosis is a rapid diagnosis of sports injuries caused by athletes in the process of aerobics training or competition. The purpose of this paper is to use image processing technology to study and analyze the diagnosis of aerobics sports injury, so that the diagnosis results...

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Detalles Bibliográficos
Autores principales: Zhang, Duo, Tian, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375699/
https://www.ncbi.nlm.nih.gov/pubmed/35971403
http://dx.doi.org/10.1155/2022/2553048
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author Zhang, Duo
Tian, Yan
author_facet Zhang, Duo
Tian, Yan
author_sort Zhang, Duo
collection PubMed
description Aerobics sports injury diagnosis is a rapid diagnosis of sports injuries caused by athletes in the process of aerobics training or competition. The purpose of this paper is to use image processing technology to study and analyze the diagnosis of aerobics sports injury, so that the diagnosis results can be obtained more quickly and effectively. This paper first introduces the image processing technology and then analyzes the sports injury in colleges and universities. Firstly, the algorithm formula of image processing technology is given, and then the algorithm is introduced into the dynamic analysis of aerobics injury diagnosis. The two are compared through example analysis. The experimental results show that joint strain, sprains, and muscle strain are the main types of sports injury of College Aerobics students, reaching 59, 50, and 31 times, respectively. When using image processing technology in the diagnosis of sports injury, the diagnosis results can be obtained quickly and effectively.
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spelling pubmed-93756992022-08-14 Application of Image Processing Technology in Aerobics Injury Diagnosis Zhang, Duo Tian, Yan Emerg Med Int Research Article Aerobics sports injury diagnosis is a rapid diagnosis of sports injuries caused by athletes in the process of aerobics training or competition. The purpose of this paper is to use image processing technology to study and analyze the diagnosis of aerobics sports injury, so that the diagnosis results can be obtained more quickly and effectively. This paper first introduces the image processing technology and then analyzes the sports injury in colleges and universities. Firstly, the algorithm formula of image processing technology is given, and then the algorithm is introduced into the dynamic analysis of aerobics injury diagnosis. The two are compared through example analysis. The experimental results show that joint strain, sprains, and muscle strain are the main types of sports injury of College Aerobics students, reaching 59, 50, and 31 times, respectively. When using image processing technology in the diagnosis of sports injury, the diagnosis results can be obtained quickly and effectively. Hindawi 2022-08-06 /pmc/articles/PMC9375699/ /pubmed/35971403 http://dx.doi.org/10.1155/2022/2553048 Text en Copyright © 2022 Duo Zhang and Yan Tian. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Duo
Tian, Yan
Application of Image Processing Technology in Aerobics Injury Diagnosis
title Application of Image Processing Technology in Aerobics Injury Diagnosis
title_full Application of Image Processing Technology in Aerobics Injury Diagnosis
title_fullStr Application of Image Processing Technology in Aerobics Injury Diagnosis
title_full_unstemmed Application of Image Processing Technology in Aerobics Injury Diagnosis
title_short Application of Image Processing Technology in Aerobics Injury Diagnosis
title_sort application of image processing technology in aerobics injury diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375699/
https://www.ncbi.nlm.nih.gov/pubmed/35971403
http://dx.doi.org/10.1155/2022/2553048
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