Faculty of History and Culture, Chengdu Sport University, Chengdu, Sichuan 610041, China.
College of Physical Education, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.
Scanning. 2022 Aug 9;2022:5201952. doi: 10.1155/2022/5201952. eCollection 2022.
In order to solve the problem of injury prevention in Wushu training, this paper proposes a research on modeling using sports medical images. The main content of this technology research is to drive the muscle strength modeling method based on the sports medical image data. According to the acquisition of MRI/CT images, through the research and application of DFIS, it is concluded that the research on sports medical image modeling has a high accuracy for injury prevention in Wushu training. The experimental results show that translation accuracy ≤ 0.030.27, rotation accuracy ≤ 0.240.63, flexion and extension accuracy ≤ 0.1, translation retest error ≤ 0.21.2, rotation retest error ≤ 0.53.4, rotation retest accuracy ≤ 0.4~1.04, and sports medical images have a high accuracy for injury prevention in Wushu training. It is proved that the research on sports medical image modeling is effective and accurate for the problem of injury prevention in Wushu training.
为了解决武术训练中的损伤预防问题，本文提出了一项基于运动医学图像的建模研究。该技术研究的主要内容是基于运动医学图像数据来驱动肌肉力量建模方法。通过对 MRI/CT 图像的采集，经过 DFIS 的研究和应用，得出运动医学图像建模对武术训练中的损伤预防具有较高的准确性。实验结果表明，翻译精度≤0.030.27，旋转精度≤0.240.63，屈伸精度≤0.1，平移复测误差≤0.21.2，旋转复测误差≤0.53.4，旋转复测精度≤0.4~1.04，运动医学图像对武术训练中的损伤预防具有较高的准确性。证明了运动医学图像建模研究对武术训练中的损伤预防问题是有效和准确的。
