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在步态计算机模拟中对踝足矫形器(AFO)的神经肌肉效应进行建模。

Modeling neuromuscular effects of ankle foot orthoses (AFOs) in computer simulations of gait.

作者信息

Crabtree Charles A, Higginson Jill S

机构信息

Department of Mechanical Engineering, 126 Spencer Lab, University of Delaware, Newark, DE 19716-3140, United States.

出版信息

Gait Posture. 2009 Jan;29(1):65-70. doi: 10.1016/j.gaitpost.2008.06.004. Epub 2008 Jul 26.

Abstract

Ankle foot orthoses (AFOs) provide immediate changes to gait kinematics and alter EMG-recorded muscle activity during gait; yet our understanding of neuromuscular adaptations while using AFOs remains incomplete. To address this, we have developed a tunable AFO model to predict torque from ankle angle and velocity and to identify plausible changes in muscle excitation and function in a walking simulation. Using a dynamometer in passive mode, we isolated flexion/extension torque of three polypropylene spring leaf AFOs at 5 degrees/s, 30 degrees/s and 120 degrees/s, from which a model of AFO torque as a function of deformation angle, velocity and size was derived with predictive ability of R2>0.9. The model coefficients did not vary linearly with size, illustrating the need to test AFO deformation response individually. We applied the tuned models to simulations of normal healthy gait to isolate AFO-induced neuromuscular changes. Compared to the No-AFO condition, AFO results show decreased net tibialis anterior excitation. Our results also show that net soleus excitation is not diminished with an AFO although soleus-induced ankle accelerations were reduced. With a tunable AFO model applied to walking simulations, we can quantify the contributions of muscle and orthosis to net joint torque and predict changes in neuromuscular control during walking.

摘要

踝足矫形器(AFO)可使步态运动学立即发生改变,并在步态期间改变肌电图记录的肌肉活动;然而,我们对使用AFO时神经肌肉适应性的理解仍不完整。为了解决这个问题,我们开发了一种可调谐AFO模型,以根据踝关节角度和速度预测扭矩,并在步行模拟中识别肌肉兴奋和功能的合理变化。在被动模式下使用测力计,我们在5度/秒、30度/秒和120度/秒的速度下分离了三种聚丙烯弹簧片AFO的屈伸扭矩,由此得出了一个AFO扭矩模型,该模型是变形角度、速度和尺寸的函数,其预测能力R2>0.9。模型系数并非随尺寸呈线性变化,这表明需要单独测试AFO的变形响应。我们将调整后的模型应用于正常健康步态的模拟,以分离AFO引起的神经肌肉变化。与不使用AFO的情况相比,使用AFO的结果显示胫骨前肌的净兴奋降低。我们的结果还表明,虽然比目鱼肌引起的踝关节加速度降低,但使用AFO时比目鱼肌的净兴奋并未减弱。通过将可调谐AFO模型应用于步行模拟,我们可以量化肌肉和矫形器对净关节扭矩的贡献,并预测步行过程中神经肌肉控制的变化。

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