Research Institute MOVE, Faculty of Human Movement Sciences, VU University, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands.
J Biomech. 2013 Mar 15;46(5):905-11. doi: 10.1016/j.jbiomech.2012.12.017. Epub 2013 Jan 18.
Besides a stable gait pattern, gait in daily life requires the capability to adapt this pattern in response to environmental conditions. The purpose of this study was to elucidate the anticipatory strategies used by able-bodied people to attain an adaptive gait pattern, and how these strategies interact with strategies used to maintain gait stability. Ten healthy subjects walked in a Computer Assisted Rehabilitation ENvironment (CAREN). To provoke an adaptive gait pattern, subjects had to hit virtual targets, with markers guided by their knees, while walking on a self-paced treadmill. The effects of walking with and without this task on walking speed, step length, step frequency, step width and the margins of stability (MoS) were assessed. Furthermore, these trials were performed with and without additional continuous ML platform translations. When an adaptive gait pattern was required, subjects decreased step length (p<0.01), tended to increase step width (p=0.074), and decreased walking speed while maintaining similar step frequency compared to unconstrained walking. These adaptations resulted in the preservation of equal MoS between trials, despite the disturbing influence of the gait adaptability task. When the gait adaptability task was combined with the balance perturbation subjects further decreased step length, as evidenced by a significant interaction between both manipulations (p=0.012). In conclusion, able-bodied people reduce step length and increase step width during walking conditions requiring a high level of both stability and adaptability. Although an increase in step frequency has previously been found to enhance stability, a faster movement, which would coincide with a higher step frequency, hampers accuracy and may consequently limit gait adaptability.
除了稳定的步态模式外,日常生活中的步态还需要能够根据环境条件来适应这种模式。本研究的目的是阐明健全人用来获得适应性步态模式的预期策略,以及这些策略如何与用于维持步态稳定性的策略相互作用。10 名健康受试者在计算机辅助康复环境(CAREN)中行走。为了引发适应性步态模式,受试者必须用膝盖引导的标记击中虚拟目标,同时在自我调整的跑步机上行走。评估了在有和没有此任务的情况下行走对行走速度、步长、步频、步宽和稳定性余量(MoS)的影响。此外,这些试验是在有和没有额外的连续 ML 平台平移的情况下进行的。当需要适应性步态模式时,与不受限制的行走相比,受试者降低了步长(p<0.01),倾向于增加步宽(p=0.074),并降低了行走速度,同时保持相似的步频。这些适应导致在试验之间保持相等的 MoS,尽管适应性步态任务具有干扰影响。当适应性步态任务与平衡干扰相结合时,受试者进一步降低了步长,这表明两种操作之间存在显著的相互作用(p=0.012)。总之,健全人在需要高水平稳定性和适应性的行走条件下会降低步长并增加步宽。尽管以前发现增加步频可以提高稳定性,但更快的运动,这将与更高的步频相吻合,会阻碍准确性,可能会限制步态适应性。