摘要
现有运动损伤评估方法不能同时进行横纵向损伤风险评估,也不能明确判断损伤部位是单一性损伤还是复合性损伤。为了解决此问题,设计基于大数据网络的运动损伤评估模型。通过网络拓扑结构的搭建、深度神经网络数据的获得、大数据与深度神经网络关系的构建,完成大数据网络环境的搭建。通过运动损伤风险源的确定、损伤风险因素识别、基于损伤风险因素的运动损伤评估,完成基于大数据网络运动损伤评估模型的搭建。设计对比实验结果表明,新型运动损伤评估模型与传统方法相比,能够同时进行横纵向损伤风险评估,也可以在短时间内判断特定部位的运动损伤属性。
The existing sports injury evaluation methods can neither simultaneously conduct horizontal and longitudinal injury risk estimation,nor can they clearly judge whether the injury part belongs to single injury or compound injury. To solve this problem,a sports injury evaluation model based on big data network is designed. The establishment of big data network environment is accomplished by establishing network topological structure,obtaining deep neural network data,and constructing the relationship between big data and deep neural network. The establishment of big data network based sports injury evaluation model is accomplished by determining the risk sources of sports injury,recognizing injury risk factors,and estimating the sports injury based on injury risk factors. The comparison experiment was designed,and the results show that the new sports injury evaluation model can simultaneously conduct horizontal and longitudinal injury risk estimation,and can also judge the sports injury property of specific parts within a short time in comparison to the traditional methods.
出处
《现代电子技术》
北大核心
2018年第6期154-157,共4页
Modern Electronics Technique
基金
江苏自然科学基金(BK20140019)
南通市社科(2017CNT013)
江苏省现代教育技术研究(2017-R-54386)~~
关键词
大数据网络
运动损伤
评估模型
拓扑结构
深度神经网络
风险源
风险因素
big data network
sports injury
evaluation model
topological structure
deep neural network
risk source
risk factor
