Sport College, Qujing Normal University, Qujing 655000, China.
J Healthc Eng. 2021 Nov 29;2021:4743231. doi: 10.1155/2021/4743231. eCollection 2021.
This work aimed to study the posture judgment method of 3D image analysis of potential motion damage.
The motion damage collection was implemented by the 3D image analysis method, and 3D image data were adopted to identify the motion damage data. Moreover, 3D image acquisition technology was adopted to analyze the model of potential motion damage and analyze the simulation judgment result of potential motion damage. Specifically, it included simulation parameters, motion damage posture collection effect, damage detection speed at the collection point, damage accuracy, and damage degree.
(1) The analysis of the damage monitoring speed at multiple collection points of the athletes in the sports environment confirmed that the range of changes in different time periods was different, and the changes showed a fast to slow to fast trend. (2) The 3D image analysis had high accuracy in analyzing the posture of potential motion damage, which rationalized the evolution of injuries. (3) The degree of motion damage under a 3D image changed from rising to gradual, which was in line with the theoretical results (all < 0.05).
3D image analysis can collect a high degree of small-sample-size data, then perform specific analysis, judgment, and summary, and finally, obtain objective and reasonable data. It greatly reduced the risk of potential motion damage for athletes and also improved the efficiency of injury recognition. Moreover, it reduced the chances of blind prevention and error prevention by athletes, thereby avoiding waste of resources. The simulation test confirmed the advantages of 3D image data collection in the sports environment, and it was solved that the current athletes cannot accurately and timely judge the potential motion damage. It also met the instability needs of the movement personnel of the acquisition system in the changing sports environment and provided a reliable guarantee for the safety and health of the sport personnel.
本研究旨在探讨潜在运动损伤的三维图像分析中的姿势判断方法。
采用三维图像分析方法进行运动损伤采集，采用三维图像数据识别运动损伤数据。此外，采用三维图像采集技术分析潜在运动损伤模型，并对潜在运动损伤的模拟判断结果进行分析。具体包括模拟参数、运动损伤姿势采集效果、采集点的损伤检测速度、损伤准确性和损伤程度。
（1）对运动员运动环境中多个采集点的损伤监测速度进行分析，确认不同时间段的变化范围不同，变化呈现出快-慢-快的趋势。（2）三维图像分析在分析潜在运动损伤姿势方面具有较高的准确性，使损伤的演变合理化。（3）三维图像下的运动损伤程度从上升逐渐变化，与理论结果一致（均<0.05）。
三维图像分析可以采集高度小样本量的数据，然后进行具体的分析、判断和总结，最终得到客观合理的数据。它大大降低了运动员潜在运动损伤的风险，也提高了损伤识别的效率。此外，它减少了运动员盲目预防和错误预防的机会，从而避免了资源的浪费。模拟测试证实了三维图像数据采集在运动环境中的优势，解决了当前运动员无法准确及时判断潜在运动损伤的问题。它还满足了采集系统在不断变化的运动环境中运动人员的不稳定性需求，为运动人员的安全和健康提供了可靠保障。
