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作 者:孙华飞[1] SUN Huafei(Physical Education Department,Wuhu Vocational and Technical College,Wuhu 241003,China)
机构地区:[1]芜湖职业技术学院体育教学部,安徽芜湖241003
出 处:《长春大学学报》2024年第4期32-38,共7页Journal of Changchun University
基 金:安徽省教育厅项目(2023jyxm1789)。
摘 要:为准确预警青少年在篮球训练中的关节损伤,构建了青少年篮球训练运动中关节损伤预警模型。使用基于独立成分分析和经验模态分解的关节受力信号去噪方法,保留有效信号,在CNN网络中提取关节受力特征后,输入LSTM网络识别关节受力信号的损伤级别后通过蜂鸣器预警。结果显示:所构建模型对青少年篮球训练运动中关节损伤级别识别结果符合实际,预警错误次数为0次,预警结果具有可信度。In order to accurately make early warning for joint injury of teenagers in basketball training,an early warning model for joint injury is constructed,in which the joint stress signal denoising method based on independent component analysis and empirical mode decomposition is used to retain the effective signal.After extracting the joint stress characteristics in CNN network,the damage level of joint stress signal is identified by inputting to LSTM network,and the buzzer is used to warn.The results show that the model constructed is consistent with the reality of joint injury level identification in youth basketball training.The number of early warning errors is 0,and the early warning results are reliable.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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