摘要
传统的运动员膝关节训练损伤程度评估模型,由于不能对评估结果划分等级,导致运动员的康复训练不具有针对性,因此根据生物力学理论,构建新的运动员膝关节训练损伤程度评估模型。通过捕捉算法提取运动员训练时的膝关节负荷特征;基于生物力学基本理论,获取运动员膝关节运动学、动力学损伤差异;调整评估模型网络节点,设置评估模型损伤程度的划分等级。实验结果表明,提出方法可以划分运动员的膝关节损伤程度等级,并根据划分结果选择具有针对性的康复训练内容。
The traditional evaluation model of athletes’knee joint training injury degree can not classify the evaluation results,resulting in the not targeted athletes’rehabilitation training.Therefore,a new evaluation model of athletes’knee joint training injury degree is constructed according to the biomechanical theory.The load characteristics of athletes’knee joint during training are extracted by capturing algorithm.Based on the basic theory of biomechanics,the differences of kinematics and dynamics of athletes’knee joints are obtained.The network nodes of the evaluation model are adjusted and the classification level of the damage degree of the evaluation model is set.The experiment results show that the proposed method can classify the degree of knee injury of athletes,and select targeted rehabilitation training contents according to the classification results.
作者
侯振东
HOU Zhen-dong(Physical Education Department,Xi’an University of Technology,Xi’an 710048,China)
出处
《信息技术》
2023年第12期167-171,共5页
Information Technology
关键词
捕捉算法
生物力学
运动员膝关节
损伤程度
评估模型
capturing algorithm
biomechanics
athlete’s knee joint
injury degree
evaluation model
