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Medical parameter extraction method of sports injury based on sensor network
Mobile Networks and Applications ( IF 3.8 ) Pub Date : 2022-09-20 , DOI: 10.1007/s11036-022-02023-4
Yong Gong, Vicente García-Díaz

In order to ensure the extraction effect of sports injury medical parameters, improve the extraction efficiency and accuracy, and reduce the extraction error, a sports injury medical parameter extraction method based on sensor network is proposed. The medical parameters of sports injury are collected through invasive wireless sensor network nodes. Using the KPCA data dimensionality reduction principle, the collected sports injury medical parameters are reduced, the Kinect somatosensory sensor is used to identify the bone and joint points of the human body, build the skeleton model of the human body, and extract the sports injury medical parameters. The experimental results show that the proposed method has good extraction effect of sports injury medical parameters, can effectively improve the efficiency and accuracy of sports injury medical parameters extraction, and reduce the error of sports injury medical parameters extraction.



中文翻译:

基于传感器网络的运动损伤医学参数提取方法

为保证运动损伤医学参数的提取效果,提高提取效率和准确率,减少提取误差,提出一种基于传感器网络的运动损伤医学参数提取方法。通过侵入式无线传感器网络节点收集运动损伤的医学参数。利用KPCA数据降维原理,对采集到的运动损伤医学参数进行降维,利用Kinect体感传感器识别人体骨骼关节点,构建人体骨骼模型,提取运动损伤医学参数参数。实验结果表明,所提方法对运动损伤医学参数提取效果较好,

更新日期:2022-09-20
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