Background:

Heeled footwear benefits people with movement disorder in the form of shoe lifts, wedges and inserts while its prolonged use causes foot injury in healthy people. There lies a need to detect parameters that affect COP progression of the foot and gait stability due to footwear.

Research question:

Do we have bipedal models that can estimate gait parameters corresponding to different center of pressure (COP) trajectories?

Method:

In this study, we propose a COP translation model that can account for non heeled to heeled footwear. We describe the COP progression as a function of the center of mass (COM) state. This model is used to generate stable steady state walking solutions for different COP profiles. We compare these model solutions with experimental data on non-heeled and heeled-gait.

Results:

The bipedal model shows stability across different COP profiles. The model estimates GRF profile ($R^2=0.83$ for 1.3 m/s ) for non heeled normal walking qualitatively and on the temporal scale. It estimates GRF due to heeled gait ($R^2=0.83$ for 1.08 m/s) but is limited in estimation of heeled gait parameters.

Significance:

A bipedal model that can generate stable steady state walking solutions for different forward progressing COP profiles can help in design of foot orthotics for patients with gait disorder and understand injuries occurring due to prolonged wear of rigid heeled footwear.

中文翻译：

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穿着无跟鞋和跟鞋行走的压力中心渐进模型

背景：

高跟鞋以举升鞋，楔子和鞋垫的形式使行动不便的人受益，而长时间使用会导致健康人的脚部受伤。需要检测由于鞋类而影响脚的COP进展和步态稳定性的参数。

研究问题：

我们是否有双足模型可以估计对应于不同压力中心（COP）轨迹的步态参数？

方法：

在这项研究中，我们提出了一个COP转换模型，该模型可以解释非高跟鞋到高跟鞋的问题。我们将COP进程描述为质心（COM）状态的函数。该模型用于为不同的COP轮廓生成稳定的稳态行走解决方案。我们将这些模型解决方案与非脚跟步态和高跟步态的实验数据进行比较。

结果：

双足模型显示了在不同COP轮廓上的稳定性。该模型估算GRF轮廓（${\mathrm{[R}}^2=0。83$对于定性和在时间尺度上非后跟的正常行走，速度为1.3 m / s）。它估算了由于步态不稳而导致的GRF（${\mathrm{[R}}^2=0。83$ 速度为1.08 m / s），但在估计步态步态参数方面受到限制。

意义：

可以为不同的向前发展的COP轮廓生成稳定的稳态行走解决方案的双足模型，可以帮助步态障碍患者设计脚部矫形器，并了解由于长期穿着高跟鞋而造成的伤害。