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Estimating the Mechanical Behavior of the Knee Joint during Crouch Gait: Implications for Real-Time Motor Control of Robotic Knee Orthoses

机译:估算蹲伏步态时膝关节的机械行为:对机器人膝关节矫形器实时电机控制的意义

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摘要

Individuals with cerebral palsy frequently exhibit crouch gait, a pathological walking pattern characterized by excessive knee flexion. Knowledge of the knee joint moment during crouch gait is necessary for the design and control of assistive devices used for treatment. Our goal was to 1) develop statistical models to estimate knee joint moment extrema and dynamic stiffness during crouch gait, and 2) use the models to estimate the instantaneous joint moment during weight-acceptance. We retrospectively computed knee moments from 10 children with crouch gait and used stepwise linear regression to develop statistical models describing the knee moment features. The models explained at least 90% of the response value variability: peak moment in early (99%) and late (90%) stance, and dynamic stiffness of weight-acceptance flexion (94%) and extension (98%). We estimated knee extensor moment profiles from the predicted dynamic stiffness and instantaneous knee angle. This approach captured the timing and shape of the computed moment (root-mean-squared error: 2.64 Nm); including the predicted early-stance peak moment as a correction factor improved model performance (root-mean-squared error: 1.37 Nm). Our strategy provides a practical, accurate method to estimate the knee moment during crouch gait, and could be used for real-time, adaptive control of robotic orthoses.
机译:脑瘫患者经常表现出蹲伏步态,这是一种以膝盖过度屈曲为特征的病理性行走方式。蹲伏步态中膝关节力矩的知识对于设计和控制用于治疗的辅助设备非常必要。我们的目标是:1)开发统计模型来估计蹲伏步态中的膝关节力矩极值和动态刚度,以及2)使用该模型来估计承重期间的瞬时关节力矩。我们回顾性地计算了10名蹲下步态儿童的膝力矩,并使用逐步线性回归建立描述膝力矩特征的统计模型。这些模型至少解释了90%的响应值变异性:早期(99%)和晚期(90%)的峰值时刻,承重屈曲和伸展的动态刚度(94%)和伸展(98%)。我们从预测的动态刚度和瞬时膝盖角度估算了膝盖伸肌的力矩曲线。这种方法捕获了计算力矩的时间和形状(均方根误差:2.64 Nm);包括预测的早期姿态峰值矩作为校正因子可改善模型性能(均方根误差:1.37 Nm)。我们的策略提供了一种实用,准确的方法来估算蹲伏步态时的膝盖力矩,并可用于机器人矫形器的实时,自适应控制。

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