Lee Namgi, Ahn Junghoon, Lim Wootaek
Department of Physical Therapy, Kwangju Women's University, Gwangju, Republic of Korea.
Department of Health Science, Graduate School, Korea University, Seoul, Republic of Korea.
J Hum Kinet. 2023 Jan 20;86:31-40. doi: 10.5114/jhk/159587. eCollection 2023 Mar.
Sports-related injuries are the most common in the lower extremities among physical regions. To evaluate impaired functional performance in sports training facilities and sports, a marker-less motion analysis system that can measure joint kinematics in bright indoor and outdoor environments is required. The aim of this study was to establish the concurrent and angle-trajectory validity and intra-trial reliability of a novel multi-view image-based motion analysis system with marker-less pose estimation during lower extremity tasks in healthy young men. Ten healthy young men participated voluntarily in this study. The hip and knee joint angles were collected using a multi-view image-based motion analysis system (marker-less) and a Vicon motion capture system (with markers) during the lower extremity tasks. Intraclass correlation coefficient (ICC) analyses were used to identify the concurrent and angle-trajectory validity and intra-trial reliability of the multi-view image-based motion analysis system. In the concurrent validity, the correlation analysis revealed that the ICC3, k values on the hip and knee flexions during knee bending in sitting, standing, and squat movements were from 0.747 to 0.936 between the two systems. In particular, the angle-trajectory validity was very high (ICC3, 1 = 0.859-0.998), indicating a high agreement between the two systems. The intra-trial reliability of each system was excellent (ICC3, 1 = 0.773-0.974), reflecting high reproducibility. We suggest that this novel marker-less motion analysis system is highly accurate and reliable for measuring joint kinematics of the lower extremities during the rehabilitation process and monitoring sports performance of athletes in training facilities.
在身体部位中，与运动相关的损伤在下肢最为常见。为了评估运动训练设施和运动中受损的功能表现，需要一种能够在明亮的室内和室外环境中测量关节运动学的无标记运动分析系统。本研究的目的是在健康年轻男性的下肢任务中，建立一种基于多视图图像的新型无标记姿态估计运动分析系统的同时效度、角度轨迹效度和试验内可靠性。十名健康年轻男性自愿参与本研究。在下肢任务期间，使用基于多视图图像的运动分析系统（无标记）和Vicon运动捕捉系统（有标记）收集髋关节和膝关节角度。使用组内相关系数（ICC）分析来确定基于多视图图像的运动分析系统的同时效度、角度轨迹效度和试验内可靠性。在同时效度方面，相关性分析显示，在坐、站和蹲运动中膝关节弯曲时，两个系统之间髋关节和膝关节屈曲的ICC3,k值在0.747至0.936之间。特别是，角度轨迹效度非常高（ICC3,1 = 0.859 - 0.998），表明两个系统之间具有高度一致性。每个系统的试验内可靠性都非常好（ICC3,1 = 0.773 - 0.974），反映出高再现性。我们认为，这种新型无标记运动分析系统在康复过程中测量下肢关节运动学以及监测训练设施中运动员的运动表现方面具有高度准确性和可靠性。
