3D无标记运动捕捉相较于标记系统在下肢生物力学评估中的准确性与有效性：一项系统评价
简介
这篇系统综述比较了无标记运动捕捉系统与金标准有标记系统在下肢生物力学评估中的准确性，重点关注ACL损伤筛查常用的跳跃落地任务。结果显示，无标记系统在矢状面运动学测量中表现出中到高度有效性，但不同关节、动作阶段和任务复杂度下结果存在差异。该技术有潜力用于大规模运动员筛查，但尚需进一步验证才能广泛推广。
英文摘要
Marker-based motion capture systems are considered the gold standard for biomechanical analysis of movements associated with anterior cruciate ligament (ACL) injury risk; however, their cost and technical requirements limit their use for large-scale athlete screening. Markerless motion capture has emerged as a potential alternative, using pose estimation algorithms or depth cameras to quantify movement without reflective markers. This systematic review evaluated the accuracy and validity of markerless motion capture systems for measuring lower-limb kinematics during jump-landing tasks commonly used in ACL injury screening. MEDLINE, Embase, and Web of Science were searched from 1990 to March 2025 for studies comparing markerless and marker-based systems in healthy participants. Extracted outcomes included Bland-Altman plots, root mean square error, mean absolute error, Pearson's correlation coefficient, coefficient of multiple correlation, and intraclass correlation coefficient. Across studies, markerless systems demonstrated moderate to high validity for several lower-limb kinematic measures, particularly in the sagittal plane, although validity varied across joints, movement phases, and task complexity. These findings suggest markerless motion capture shows potential for biomechanical assessment in ACL injury screening, but further validation is required before widespread implementation.