Zhang Duo, Tian Yan
Physical Education Department, Civil Aviation Flight University of China, Guanghan 618307, Sichuan, China.
College of Physical Education, Chengdu University of TCM, Chengdu 611137, Sichuan, China.
Emerg Med Int. 2022 Aug 6;2022:2553048. doi: 10.1155/2022/2553048. eCollection 2022.
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.
健美操运动损伤诊断是对运动员在健美操训练或比赛过程中所遭受的运动损伤进行快速诊断。本文的目的是利用图像处理技术对健美操运动损伤诊断进行研究分析,从而更快速有效地获得诊断结果。本文首先介绍了图像处理技术,然后对高校的运动损伤进行了分析。首先给出了图像处理技术的算法公式,接着将该算法引入到健美操损伤诊断的动态分析中。通过实例分析对二者进行了比较。实验结果表明,关节拉伤、扭伤和肌肉拉伤是高校健美操学生运动损伤的主要类型,分别达到59次、50次和31次。在运动损伤诊断中使用图像处理技术时,能够快速有效地获得诊断结果。