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A new parametric approach for modeling hip forces during gait.

机译:一种用于在步态中模拟髋部力量的新参数方法。

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An analytical parametric model was developed to estimate the natural biological variations in muscle forces and their effect on the hip forces subject only to physiological constraints and not predefined optimization criterion. Force predictions are based on the joint kinematics and kinetics of each subject, a previously published muscle model, and physiological constraints on the muscle force distributions. The model was used to determine the hip contact forces throughout the stance phase of gait of a subject with a total hip replacement (THR). The parametrically modeled peak hip force without antagonistic muscle activity varied from 2.7 to 3.2 Body Weights (mean 2.9 Body Weights), which agreed well with published in vivo measurements from instrumented THRs in other subjects. For every 10% increase in antagonistic activity, the mean peak hip force increased by 0.2 Body Weights. The parametric model allows one to examine the effect of specific muscle weaknesses or increased antagonistic muscle activityon the hip forces. The model also provides a tool for studying the effect of gait adaptations on hip forces, as predictions are based on each individual's gait data. Differences in peak forces between subjects can then be evaluated relative to the uncertainty in not knowing the precise muscle force distributions.
机译:开发了一种分析参数模型来估计肌肉力的自然生物学变化及其对臀部力的影响,这些变化仅受生理限制而不是预先确定的优化标准。力的预测是基于每个受试者的关节运动学和动力学,先前发布的肌肉模型以及对肌肉力分布的生理约束。该模型用于确定整个髋关节置换(THR)受试者步态步态阶段的髋部接触力。在没有拮抗肌肉活动的情况下,参数化建模的峰值髋力量在2.7至3.2体重(平均2.9体重)之间变化,这与已发表的其他受试者的THR体内测量结果非常吻合。拮抗活性每增加10%,髋关节平均峰值力量就会增加0.2体重。该参数模型允许检查特定的肌肉无力或增加的拮抗性肌肉活动对髋关节力量的影响。该模型还提供了一种用于研究步态适应对髋关节力量的影响的工具,因为预测是基于每个人的步态数据。然后,可以在不知道精确的肌肉力分布的情况下相对于不确定性来评估受试者之间峰值力的差异。

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