Allied Health Institute, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil.
Medicine, State University of Mato Grosso do Sul, Campo Grande 79115-898, Brazil.
Int J Environ Res Public Health. 2023 Aug 26;20(17):6657. doi: 10.3390/ijerph20176657.
New technologies based on virtual reality and augmented reality offer promising perspectives in an attempt to increase the assessment of human kinematics. The aim of this work was to develop a markerless 3D motion analysis capture system (MOVA3D) and to test it versus Qualisys Track Manager (QTM). A digital camera was used to capture the data, and proprietary software capable of automatically inferring the joint centers in 3D and performing the angular kinematic calculations of interest was developed for such analysis. In the experiment, 10 subjects (22 to 50 years old), 5 men and 5 women, with a body mass index between 18.5 and 29.9 kg/m, performed squatting, hip flexion, and abduction movements, and both systems measured the hip abduction/adduction angle and hip flexion/extension, simultaneously. The mean value of the difference between the QTM system and the MOVA3D system for all frames for each joint angle was analyzed with Pearson's correlation coefficient (r). The MOVA3D system reached good (above 0.75) or excellent (above 0.90) correlations in 6 out of 8 variables. The average error remained below 12° in only 20 out of 24 variables analyzed. The MOVA3D system is therefore promising for use in telerehabilitation or other applications where this level of error is acceptable. Future studies should continue to validate the MOVA3D as updated versions of their software are developed.
基于虚拟现实和增强现实的新技术在试图增加对人体运动学的评估方面提供了有前景的视角。本工作的目的是开发一种无标记的 3D 运动分析捕捉系统(MOVA3D),并将其与 Qualisys Track Manager(QTM)进行测试。使用数码相机来获取数据,并开发了专有的软件,该软件能够自动推断 3D 中的关节中心,并执行感兴趣的角度运动学计算。在实验中,10 名受试者(22 至 50 岁,男女各 5 名,体重指数在 18.5 至 29.9kg/m 之间)进行了下蹲、髋关节屈曲和外展运动,两个系统同时测量了髋关节外展/内收角度和髋关节屈曲/伸展角度。使用 Pearson 相关系数(r)分析 QTM 系统和 MOVA3D 系统在所有关节角度的所有帧之间的差异的平均值。MOVA3D 系统在 8 个变量中的 6 个达到了良好(大于 0.75)或优秀(大于 0.90)的相关性。在分析的 24 个变量中,只有 20 个的平均误差低于 12°。因此,MOVA3D 系统有望在远程康复或其他可以接受这种误差水平的应用中使用。未来的研究应继续验证 MOVA3D,因为他们的软件会不断更新。