基于大数据网络的运动损伤评估模型研究Research on sports injury evaluation model based on big data network
杨宋华
摘要(Abstract):
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。
关键词(KeyWords): 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
基金项目(Foundation): 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)~~
作者(Author): 杨宋华
DOI: 10.16652/j.issn.1004-373x.2018.06.037
参考文献(References):
- [1]高晓嶙,徐辉,黄鹏,等.应用功能性动作测试评估我国橄榄球运动员损伤风险的研究[J].中国运动医学杂志,2017,36(5):410-415.GAO Xiaolin,XU Hui,HUANG Peng,et al.Assessing sports injury risks of Chinese rugby athletes using functional movement screen[J].Chinese journal of sports medicine,2017,36(5):410-415.
- [2]张锐,高守东.身体功能训练对网球专项学生功能动作筛查(FMS)和运动损伤率的影响[J].安徽体育科技,2016,37(2):78-81.ZHANG Rui,GAO Shoudong.Effect of body function training on students′professional tennis function screening and sports injury rate[J].Journal of Anhui sports science,2016,37(2):78-81.
- [3]邢聪,吴瑛,项贤林.美国运动损伤前沿研究热点与内容分析:基于科学知识图谱的可视化研究[J].体育科学,2016,36(9):66-72.XING Cong,WU Ying,XIANG Xianlin.Analysis on the latest hotspot and content about America sports injury-based on visualization research of scientific knowledge map[J].China sport science,2016,36(9):66-72.
- [4]刘少华,崔岩,董欣荣,等.左卡尼丁对抗大鼠力竭运动损伤及保护肾脏的作用与机制[J].滨州医学院学报,2016,39(3):176-179.LIU Shaohua,CUI Yan,DONG Xinrong,et al.Effects of Lcarnitine on resistant sport fatigue and attenuate exercise-induced renal injury[J].Journal of Binzhou Medical University,39(3):176-179.
- [5]张丹妮,陈乐琴,张一民.中老年人健身损伤风险发生的体质因素探析[J].南京体育学院学报(自然科学版),2016,15(1):50-55.ZHANG Danni,CHEN Leqin,ZHANG Yimin.Exploration on physical factors of middle-aged and elderly fitness sports injury risk[J].Journal of Nanjing Institute of Physical Education(Natural science),2016,15(1):50-55.
- [6]琚安康,郭渊博,朱泰铭.基于开源工具集的大数据网络安全态势感知及预警架构[J].计算机科学,2017,44(5):125-131.JU Ankang,GUO Yuanbo,ZHU Taiming.Framework for big data network security situational awareness and threat warning based on open source toolset[J].Computer science,2017,44(5):125-131.
- [7]江勇,周汉香,李朝前.大数据网络环境下的科技期刊作者队伍建设[J].湖北工业职业技术学院学报,2017,30(4):96-99.JIANG Yong,ZHOU Hanxiang,LI Chaoqian.Construction of scientific journals′author team under big data network environment[J].Journal of Hubei Industrial Polytechnic,2017,30(4):96-99.
- [8]张思,刘清堂,雷诗捷,等.网络学习空间中学习者学习投入的研究:网络学习行为的大数据分析[J].中国电化教育,2017,21(4):24-30.ZHANG Si,LIU Qingtang,LEI Shijie,et al.Study of learners′engagement in online learning space-big data analytics of elearning behavior[J].China educational technology,2017(4):24-30.
- [9]王春雨,黄维肖,袁义厘,等.失禁性皮炎皮肤损伤评估量表的汉化及信度、效度评价[J].中国护理管理,2016,16(3):337-340.WANG Chunyu,HUANG Weixiao,YUAN Yili,et al.Reliability and validity of the Chinese version of the incontinenceassociated dermatitis and its severity instrument[J].Chinese nursing management,2016,16(3):337-340.
- [10]鲍玉冬,杨闯,赵彦玲,等.基于碰撞变形能的机械采收蓝莓果实碰撞损伤评估[J].农业工程学报,2017,33(16):283-292.BAO Yudong,YANG Chuang,ZHAO Yanling,et al.Collision injury assessment of mechanical harvesting blueberry fruit based on collision deformation energy[J].Transactions of the Chinese society of agricultural engineering,2017,33(16):283-292.
- [11]KUMAR A,BARO O,HARINARAYAN N H.Obtaining the surface PGA from site response analyses based on globally recorded ground motions and matching with the codal values[J].Natural hazards,2016,81(1):543-572.