Universidade Lisboa, Faculdade de Motricidade Humana, CIPER, LBMF, P-1499-002 Lisboa, Portugal; Musculoskeletal Rehabilitation Research Group, Faculty of Movement and Rehabilitation Sciences, Leuven KU, Belgium; Escola Superior de Tecnologia da Saúde de Lisboa, Instituto Politécnico de Lisboa, 1990-096 Lisboa, Portugal.
Musculoskeletal Rehabilitation Research Group, Faculty of Movement and Rehabilitation Sciences, Leuven KU, Belgium.
J Biomech. 2024 Sep;174:112280. doi: 10.1016/j.jbiomech.2024.112280. Epub 2024 Aug 13.
In older adults, gait analysis may detect changes that signal early disease states, yet challenges in biomechanical screening limit widespread use in clinical or community settings. Recently, a markerless method from multi-camera video data has become accessible, making screenings less challenging. This study evaluated the test-retest reliability and measurement error of markerless gait kinematics and kinetics in healthy older adults. Twenty-nine healthy older adults performed gait analysis on two occasions, at preferred walking speed, using their everyday clothes. Lower limb angles and moments were averaged from 8 gait cycles. Integrated pointwise indices [Intraclass Correlation Coefficient (ICC) and Standard Error of Measurement (SEM)] were calculated for curve data, as well as ICC and SEM [95 % confidence intervals] for selected peaks. Generally, kinematic ICCs were good (>0.75) and reasonably stable throughout the gait cycle, except for the hip kinematics during the swing phase in the sagittal plane and pelvis tilt and rotation. The integrated and peaks SEM were <2.4°. The reliability of kinetics was similar (ICC>0.75), except for the transverse hip moment and abduction peak, fluctuating more during the swing than through the stance phase. SEM were < 0.07Nm/Kg. In conclusion, these results showed good overall test-retest reliability for markerless gait kinematics and kinetics for the hip, knee, and ankle joints, moderate for the pelvis angles, and error levels of ≤5°, and SEM%≤5% for the sagittal plane. This supports this method's use in assessing gait in healthy older adults, including kinetics, for which reliability data from markerless systems is difficult to find reported.
在老年人中,步态分析可能会检测到早期疾病状态的变化,但生物力学筛查中的挑战限制了其在临床或社区环境中的广泛应用。最近,一种来自多摄像机视频数据的无标记方法变得易于使用,使得筛查变得不那么具有挑战性。本研究评估了无标记步态运动学和动力学在健康老年人中的重测信度和测量误差。29 名健康老年人以他们的日常服装在两次测试中以他们的自然步速进行步态分析。从 8 个步态周期中平均下肢角度和力矩。对曲线数据计算了综合点指数[组内相关系数(ICC)和测量误差(SEM)],以及选定峰值的 ICC 和 SEM [95%置信区间]。通常,运动学 ICC 较好(>0.75),在整个步态周期中相对稳定,除了矢状面摆动阶段的髋关节运动学以及骨盆倾斜和旋转。综合和峰值 SEM 均<2.4°。动力学的可靠性相似(ICC>0.75),除了横向髋关节力矩和外展峰值,在摆动阶段比在站立阶段波动更大。SEM 均<0.07Nm/Kg。总之,这些结果表明无标记步态运动学和动力学的整体重测信度良好,髋关节、膝关节和踝关节的 ICC>0.75,骨盆角度的 ICC 为中等,误差水平为≤5°,矢状面的 SEM%≤5%。这支持了该方法在评估健康老年人步态中的使用,包括动力学,因为无标记系统的可靠性数据很难找到报道。