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首页> 外文期刊>Journal of Biomechanics >Computational modeling of neuromuscular response to swing-phase robotic knee extension assistance in cerebral palsy
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Computational modeling of neuromuscular response to swing-phase robotic knee extension assistance in cerebral palsy

机译:脑瘫血管麻痹摇摆相位机器人膝关节延长援助的算术建模

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摘要

Predicting subject-specific responses to exoskeleton assistance may aid in maximizing functional gait outcomes, such as achieving full knee-extension at foot contact in individuals with crouch gait from cerebral palsy (CP). The purpose of this study was to investigate the role of volitional and non-volitional muscle activity in subject-specific responses to knee extension assistance during walking with an exoskeleton. We developed a simulation framework to predict responses to exoskeleton torque by applying a stretch-reflex spasticity model with muscle excitations computed during unassisted walking. The framework was validated with data collected from six individuals with CP. Framework-predicted knee angle at terminal swing was within 4 +/- 4 degrees (mean +/- sd) of the knee angle measured experimentally without the addition of spasticity. Kinematic responses in two-thirds of the participants could be accurately modeled using only underlying muscle activity and the applied exoskeleton torque; incorporating hamstring spasticity was necessary to recreate the measured kinematics to within 1 +/- 1 degrees in the remaining participants. We observed strong positive linear relationships between knee extension and exoskeleton assistance, and strong negative quadratic relationships between knee extension and spasticity. We utilized our framework to identify optimal torque profiles necessary to achieve full knee-extension at foot contact. An angular impulse of 0.061 +/- 0.025 Nm.s.kg(-1).deg(-1) with 0.013 +/- 0.002 Nm.kg(-l).deg(-1) of peak torque and 4.1 +/- 1.9 W.kg(-1).deg(-1) peak mechanical power was required to achieve full knee extension (values normalized by knee excursion). This framework may aid the prescription of exoskeleton control strategies in pathologies with muscle spasticity. https://simtk.orgiprojects/knee-exo-pred/. (C) 2019 Elsevier Ltd. All rights reserved.
机译:预测对外骨骼辅助的课题特异性响应可以有助于最大化功能性步态结果,例如在从脑瘫(CP)中的蹲伏步态中的个体的脚接触时实现全膝关节延伸。本研究的目的是探讨在用外骨骼的膝关节延长援助中对膝关节延长援助的主题反应的作用。我们开发了一种模拟框架,通过应用在没有在远足期间计算的肌肉激励的拉伸反射痉挛模型来预测对外骨骼扭矩的响应。该框架被验证,并使用CP的六个人收集的数据进行了验证。围绕终端摆动的框架预测的膝关节在实验上测量的膝关节角度范围内的4 +/- 4度(平均+/- Sd),而不会增加痉挛。仅使用基础肌肉活动和所施加的外骨骼扭矩可以准确地建模参与者的运动响应;必须采用腿筋痉挛,以在其余参与者的1 +/- 1度内重新创建测量的运动学。我们观察到膝关节延伸和外骨骼辅助之间的强正线性关系,膝关节延伸和痉挛之间的强负二次关系。我们利用我们的框架来识别在脚接触时实现全膝关节延伸所需的最佳扭矩曲线。 0.061 +/- 0.025 nm.s.kg(-1).deg(-1)的角度脉冲,0.013 +/- 0.002 nm.kg(-1).deg(-1)的峰值扭矩和4.1 + / - 1.9 W.kg(-1).deg(-1)峰值机械动力需要实现全膝部延伸(膝关节偏移标准化)。该框架可以帮助肌肉痉挛在病理过程中的前骨骼控制策略的处方。 https://simtk.orgropts/knee-exo-pred/。 (c)2019年elestvier有限公司保留所有权利。

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