Gait laboratory, Olgahospital/Frauenklinik, Orthopaedic Clinic, Klinikum Stuttgart, Kriegsbergstrasse 62, 70174, Stuttgart, Germany.
Motion and Exercise Science, University of Stuttgart, Stuttgart, Germany.
Sci Rep. 2024 Nov 25;14(1):29154. doi: 10.1038/s41598-024-80499-8.
Three-dimensional (3D) marker-based motion capture is the current gold standard to assess and monitor pathological gait in a clinical setting. However, 3D markerless motion capture based on pose estimation is advancing into the field of gait analysis. This study aims at evaluating the lower-body 3D gait kinematics and kinetics from synchronously recorded Theia3D markerless and CAST marker-based systems. Twelve healthy individuals and 34 clinical patients aged 8-61 years walked at self-selected speed over a 13 m long walkway. Similarity between models was statistically analysed using inter-trial variability, root mean square error, Pearson's correlation coefficient and Statistical Parametric Mapping. Inter-trial variability was on average higher for clinical patients in both models. Overall, the markerless system demonstrated similar gait patterns although hip and knee rotations were non-comparable. Pelvic anterior tilt was significantly underestimated. Significant differences especially in peak values at specific phases of the gait cycle were observed across all planes for all joints (more so for clinical patients than healthy subjects) as well as in the sagittal powers of the hip, knee and ankle. Theia3D markerless system offers great potential in gait analysis. This study brings awareness to potential clinical users and researchers where they can have confidence, as well as areas where caution should be exercised.
基于三维 (3D) 标记的运动捕捉是评估和监测临床病理性步态的当前金标准。然而,基于姿势估计的无标记 3D 运动捕捉正在进入步态分析领域。本研究旨在评估同步记录的 Theia3D 无标记和 CAST 基于标记系统的下肢 3D 运动学和动力学。12 名健康个体和 34 名年龄在 8 至 61 岁的临床患者以自我选择的速度在 13 米长的步道上行走。使用试验间变异性、均方根误差、皮尔逊相关系数和统计参数映射对模型之间的相似性进行统计学分析。在两个模型中,临床患者的试验间变异性平均更高。总体而言,尽管髋关节和膝关节旋转不可比,但无标记系统表现出相似的步态模式。骨盆前倾被显著低估。所有关节的所有平面(尤其是临床患者比健康受试者)以及髋关节、膝关节和踝关节的矢状面功率都观察到显著差异,特别是在步态周期特定阶段的峰值值。Theia3D 无标记系统在步态分析中具有巨大潜力。本研究使潜在的临床用户和研究人员意识到他们可以信任的地方,以及需要谨慎的地方。