Worster Kate, Valvano Joanne, Carollo James J
Department of Bioengineering, Mail Stop 8607, Research 2, Building P15, 12700 E 19th Avenue, Room 6C03, Aurora, CO 80045-2560, USA; Center for Gait & Movement Analysis Lab, Children's Hospital Colorado, 13123 E. 16th Ave., B476, Aurora, CO 80045, USA.
Center for Gait & Movement Analysis Lab, Children's Hospital Colorado, 13123 E. 16th Ave., B476, Aurora, CO 80045, USA.
Clin Biomech (Bristol). 2015 May;30(4):366-72. doi: 10.1016/j.clinbiomech.2015.02.013. Epub 2015 Feb 24.
Individuals who undergo an instrumented gait analysis often have an aberrant gait pattern due to neuromuscular impairments that adversely affect their coordination. Conventional instrumented gait analysis descriptors fail to capture the complex coordination dynamics of gait. This paper presents a straightforward methodology for generating descriptors of coordination dynamics based on dynamical systems theory and provides the largest reported dataset of sagittal plane coordination measures, including adjacent and non-adjacent segment pairings, from individuals free of gait pathology walking over-ground.
Tri-planar marker trajectories from 104 unimpaired subjects between the ages of 8 and 66 years were collected as they walked at a self-selected speed on a level surface. Phase portraits for the pelvis, thigh, shank, and foot and continuous relative phase diagrams for the segment pairs of pelvis-thigh, thigh-shank, shank-foot, and thigh-foot were calculated.
The low coefficients of variation for each coordination curve are comparable to inter-subject coefficients of variation for kinematic curves, narrow confidence intervals for relative phase angles at four essential footfall conditions, and small standard deviation bands of the continuous relative phase diagrams are evidence that these curves characterize the coordination dynamics of normal gait.
These findings support the use of this normative dataset as a reference for coordination studies in the clinic or research laboratory. Improving our understanding of gait strategies from the level of coordination and characterizing the natural variability in gait patterns offer a means to enhance our understanding of atypical gait patterns.
接受仪器化步态分析的个体通常因神经肌肉损伤而具有异常步态模式,这会对他们的协调性产生不利影响。传统的仪器化步态分析描述符无法捕捉步态的复杂协调动态。本文提出了一种基于动力系统理论生成协调动态描述符的直接方法,并提供了已报道的最大矢状面协调测量数据集,该数据集来自无步态病理的个体在地面行走时的相邻和非相邻节段配对。
收集了104名年龄在8至66岁之间的未受损受试者在水平面上以自选速度行走时的三平面标记轨迹。计算了骨盆、大腿、小腿和足部的相图以及骨盆 - 大腿、大腿 - 小腿、小腿 - 足部和大腿 - 足部节段对的连续相对相位图。
每条协调曲线的低变异系数与运动学曲线的受试者间变异系数相当,在四种基本落地条件下相对相位角的窄置信区间以及连续相对相位图的小标准差带证明这些曲线表征了正常步态的协调动态。
这些发现支持将这个标准化数据集用作临床或研究实验室中协调研究的参考。从协调层面提高我们对步态策略的理解并表征步态模式中的自然变异性提供了一种增强我们对非典型步态模式理解的方法。