Lerner Zachary F, Damiano Diane L, Bulea Thomas C
IEEE Trans Neural Syst Rehabil Eng. 2016 Jun;24(6):621-9. doi: 10.1109/TNSRE.2016.2550860. Epub 2016 Apr 14.
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.
患有脑瘫的个体经常表现出蹲伏步态,这是一种以过度屈膝为特征的病理性行走模式。了解蹲伏步态期间的膝关节力矩对于用于治疗的辅助装置的设计和控制至关重要。我们的目标是:1)开发统计模型以估计蹲伏步态期间的膝关节力矩极值和动态刚度,以及2)使用这些模型估计承重期间的瞬时关节力矩。我们回顾性地计算了10名患有蹲伏步态儿童的膝关节力矩,并使用逐步线性回归来开发描述膝关节力矩特征的统计模型。这些模型解释了至少90%的响应值变异性:早期(99%)和晚期(90%)站立时的峰值力矩,以及承重屈曲(94%)和伸展(98%)时的动态刚度。我们根据预测的动态刚度和瞬时膝关节角度估计了膝关节伸肌力矩曲线。这种方法捕捉到了计算力矩的时间和形状(均方根误差:2.64 Nm);将预测的早期站立峰值力矩作为校正因子纳入可提高模型性能(均方根误差:1.37 Nm)。我们的策略提供了一种实用、准确的方法来估计蹲伏步态期间的膝关节力矩,可用于机器人矫形器的实时、自适应控制。