现代电子技术2018，Vol.41Issue(11)：149-152,156,5.DOI:10.16652/j.issn.1004-373x.2018.11.033
基于大数据分析的运动员损伤康复建模研究
Research on athletes′ injury rehabilitation modeling based on big data analysis
摘要
Abstract
For the current study on athletes′ injury rehabilitation,the multivariate variance repeatedly-measured method is used to analyze the factors influencing the athletes′ injury rehabilitation,but the impact effects of these factors (rehabilitation and functional recovery)aren′t analyzed and predicted accurately. Therefore,an athletes′ injury rehabilitation modeling method based on big data analysis is presented. In the model,the multilayer linear analysis is performed for the injury rehabilitation fac-tors from the perspective of statistics to get the relation between the influence factors and injury rehabilitation for the description of the occurrence regularity of sports injury. The principal component analysis is carried out for the injury rehabilitation factors to obtain the direct influence factors produced by sports injury,which can effectively predict the influence factors of injury rehabili-tation,so as to complete the research on athletes′ injury rehabilitation. The experimental results show that the prediction results are in good agreement with the actual results,and this method has effective data analysis results for athletes′ injury rehabilitation.关键词
大数据分析/主成分分析/多层线性分析/损伤康复/多元方差/有效预测Key words
big data analysis/principal component analysis/multilayer linear analysis/injury rehabilitation/multivariate variance/effective prediction分类
信息技术与安全科学引用本文复制引用
王慧..基于大数据分析的运动员损伤康复建模研究[J].现代电子技术,2018,41(11):149-152,156,5.
