基于人工神经网络的高校足球训练中膝关节损伤研究

Hengxing Chen, Chun Liu
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引用次数: 3

摘要

近年来,高校接受足球训练的学生人数不断增加,但在大多数高校的足球训练中,普遍进行高强度的运动。因此,运动员在训练过程中经常出现膝盖损伤,这不仅危害运动员的身体健康,也影响了足球运动员专业技术的提高。本文基于人工神经网络技术,通过数据分析的方法,对高校足球学员膝盖损伤的原因进行了分析。本文发现足球肌肉损伤类型主要包括内侧副韧带、半月板损伤、前交叉韧带、膝滑囊炎、髌腱内隐病,以及外侧副韧带和髌骨Sinding Larsen和软骨软化这7种类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Knee Injuries in College Football Training Based on Artificial Neural Network
In recent years, the number of students receiving football training in colleges has been increasing, however, during football trainings in most colleges and universities, high-intensity sports are generally performed. Therefore, the athletes often experience knee injury during training, which is harmful to the health of athletes and affects football players' professional skills improvement. This paper analyzes the reasons for the knee injuries of college football trainees, based on the artificial neural network technology and through the method of data analysis. This paper finds that football muscle damage types mainly include the medial collateral ligament, meniscus injury, anterior cruciate ligament, the knee bursitis, enthesopathy of the patellar tendon, and the lateral collateral ligament and Sinding Larsen and chondromalacia patellae these seven types.
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