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A Forward Dynamic Modelling Investigation of Cause-and-Effect Relationships in Single Support Phase of Human Walking

机译:人步行单支撑阶段因果关系的前向动力学建模研究

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摘要

Mathematical gait models often fall into one of two categories: simple and complex. There is a large leap in complexity between model types, meaning the effects of individual gait mechanisms get overlooked. This study investigated the cause-and-effect relationships between gait mechanisms and resulting kinematics and kinetics, using a sequence of mathematical models of increasing complexity. The focus was on sagittal plane and single support only. Starting with an inverted pendulum (IP), extended to include a HAT (head-arms-trunk) segment and an actuated hip moment, further complexities were added one-by-one. These were a knee joint, an ankle joint with a static foot, heel rise, and finally a swing leg. The presence of a knee joint and an ankle moment (during foot flat) were shown to largely influence the initial peak in the vertical GRF curve. The second peak in this curve was achieved through a combination of heel rise and the presence of a swing leg. Heel rise was also shown to reduce errors in the horizontal GRF prediction in the second half of single support. The swing leg is important for centre-of-mass (CM) deceleration in late single support. These findings provide evidence for the specific effects of each gait mechanism.
机译:数学步态模型通常分为两类之一:简单和复杂。模型类型之间的复杂性有很大的飞跃,这意味着单个步态机制的影响被忽略了。这项研究使用一系列复杂性不断提高的数学模型,研究了步态机制与运动学和动力学之间的因果关系。重点仅放在矢状面和单一支撑上。从倒立摆(IP)开始,扩展到包括HAT(头臂-躯干)节段和致动的髋关节力矩,进一步的复杂性被逐一添加。这些是膝关节,脚静止的脚踝关节,脚跟抬起,最后是腿部摆动。膝关节和踝关节力矩(足展平直)的存在显示出在很大程度上影响了垂直GRF曲线中的初始峰值。该曲线的第二个峰值是通过后跟抬高和摆腿的结合而达到的。脚跟上升也显示出减少单支撑下半段水平GRF预测中的误差。摆腿对于后期单支撑中的质心(CM)减速非常重要。这些发现为每种步态机制的特定作用提供了证据。

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