首页> 外文会议>1995 IEEE engineering in medicine and biology 17th annual conference and 21st Canadian medical and biological engineering conference >PARAMETRIC MODELING OF THE REFLEX CONTRIBUTION TO DYNAMIC ANKLE STIFFNESS IN NORMAL AND SPINAL CORD INJURED SPASTIC SUBJECTS
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PARAMETRIC MODELING OF THE REFLEX CONTRIBUTION TO DYNAMIC ANKLE STIFFNESS IN NORMAL AND SPINAL CORD INJURED SPASTIC SUBJECTS

机译:正常和脊髓损伤的随机对象对动态踝关节僵硬度的反射贡献的参数化建模

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Dynamic ankle stiffness was estimated at different levels of tonic voluntary contraction in normal and spastic, spinal cord injured (SCI) subjects. A new parallel-cascade identification method was used to identify the reflex contribution to overall stiffness in terms of a static nonlinearity in series with a linear system. Linear dynamics were estimated non-parametrically as impulse response functions (IRFs). Parametric models were fit to these IRFs using non-linear, least-squares methods. A simple, second-order, low-pass model was adequate for some cases, but did not work well with data from normal subjects at high levels of activation or with from spastic subjects. Much better fits were obtained using a third order model.
机译:在正常和痉挛性脊髓损伤(SCI)受试者中,在不同水平的强直性自愿性收缩中估计了动态踝关节僵硬。一种新的并行级联识别方法用于根据与线性系统串联的静态非线性来识别反射对整体刚度的贡献。线性动力学作为脉冲响应函数(IRF)进行非参数估计。使用非线性最小二乘法将参数模型拟合到这些IRF。一个简单的二阶低通模型在某些情况下就足够了,但是对于来自激活水平较高的正常受试者或痉挛性受试者的数据,效果并不理想。使用三阶模型可以获得更好的拟合度。

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