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Reliability and Minimum Detectable Change of Temporal-Spatial Kinematic and Dynamic Stability Measures during Perturbed Gait

机译:步态扰动过程中时空运动和动态稳定性测度的可靠性和最小可检测变化

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摘要

Temporal-spatial, kinematic variability, and dynamic stability measures collected during perturbation-based assessment paradigms are often used to identify dysfunction associated with gait instability. However, it remains unclear which measures are most reliable for detecting and tracking responses to perturbations. This study systematically determined the between-session reliability and minimum detectable change values of temporal-spatial, kinematic variability, and dynamic stability measures during three types of perturbed gait. Twenty young healthy adults completed two identical testing sessions two weeks apart, comprised of an unperturbed and three perturbed (cognitive, physical, and visual) walking conditions in a virtual reality environment. Within each session, perturbation responses were compared to unperturbed walking using paired t-tests. Between-session reliability and minimum detectable change values were also calculated for each measure and condition. All temporal-spatial, kinematic variability and dynamic stability measures demonstrated fair to excellent between-session reliability. Minimal detectable change values, normalized to mean values ranged from 1–50%. Step width mean and variability measures demonstrated the greatest response to perturbations with excellent between-session reliability and low minimum detectable change values. Orbital stability measures demonstrated specificity to perturbation direction and sensitivity with excellent between-session reliability and low minimum detectable change values. We observed substantially greater between-session reliability and lower minimum detectable change values for local stability measures than previously described which may be the result of averaging across trials within a session and using velocity versus acceleration data for reconstruction of state spaces. Across all perturbation types, temporal-spatial, orbital and local measures were the most reliable measures with the lowest minimum detectable change values, supporting their use for tracking changes over multiple testing sessions. The between-session reliability and minimum detectable change values reported here provide an objective means for interpreting changes in temporal-spatial, kinematic variability, and dynamic stability measures during perturbed walking which may assist in identifying instability.
机译:在基于摄动的评估范式中收集的时空,运动学变异性和动态稳定性测量值通常用于识别与步态不稳相关的功能障碍。但是,目前尚不清楚哪种方法最可靠地检测和跟踪对扰动的响应。这项研究系统地确定了三种类型的步态扰动期间的会话间可靠性和时空,运动学变异性和动态稳定性度量的最小可检测变化值。二十名年轻健康的成年人相隔两个星期完成了两次相同的测试,包括在虚拟现实环境中不受干扰的步行条件和三种受干扰的(认知,身体和视觉)步行条件。在每个阶段中,使用配对t检验将摄动反应与无扰动步行进行比较。还针对每种度量和条件计算了会话之间的可靠性和最小可检测变化值。所有的时空,运动学变异性和动态稳定性指标都证明了会话间的可靠性达到了极好的水平。最小的可检测变化值,标准化为平均值,范围为1–50%。步长均值和变异性度量显示出对扰动的最大响应,具有出色的会话间可靠性和较低的最小可检测变化值。轨道稳定性测度显示出对扰动方向和灵敏度的特异性,具有出色的会话间可靠性和较低的最小可检测变化值。我们观察到,与之前描述的相比,会话稳定性更高,会话稳定性更高,最小可检测变化值最低,这可能是会话中各个试验的平均结果以及使用速度与加速度数据重建状态空间的结果。在所有摄动类型中,时空,轨道和局部测度是最可靠的测度,具有最小的最小可检测变化值,从而支持将其用于跟踪多个测试会话中的变化。此处报告的会话间可靠性和最小可检测变化值提供了一种客观的方法,可以解释扰动步行过程中时空,运动变化和动态稳定性的变化,这可能有助于识别不稳定性。

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