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On the intrinsic control properties of muscle and relexes: exploring the interaction between neural and musculoskeletal dynamics in the framework of the equilbrium-point hypothesis

机译:关于肌肉和反射的内在控制特性:在平衡点假设的框架下探讨神经和肌肉骨骼动力学之间的相互作用

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摘要

The aim of this thesis is to examine the relationship between the intrinsic dynamics of the body and its neural control. Specifically, it investigates the influence of musculoskeletal properties on the control signals needed for simple goal-directed movements in the framework of the equilibriumpoint (EP) hypothesis. To this end, muscle models of varying complexity are studied in isolation and when coupled to feedback laws derived from the EP hypothesis. It is demonstrated that the dynamical landscape formed by non-linear musculoskeletal models features a stable attractor in joint space whose properties, such as position, stiffness and viscosity, can be controlled through differential- and co-activation of antagonistic muscles. The emergence of this attractor creates a new level of control that reduces the system’s degrees of freedom and thus constitutes a low-level motor synergy. It is described how the properties of this stable equilibrium, as well as transient movement dynamics, depend on the various modelling assumptions underlying the muscle model.ududThe EP hypothesis is then tested on a chosen musculoskeletal model by using an optimal feedback control approach: genetic algorithm optimisation is used to identify feedback gains that produce smooth single- and multijoint movements of varying amplitude and duration. The importance of different feedback components is studied for reproducing invariants observed in natural movement kinematics. The resulting controllers are demonstrated to cope with a plausible range of reflex delays, predict the use of velocity-error feedback for the fastest movements, and suggest that experimentally observed triphasic muscle bursts are an emergent feature rather than centrallyudplanned. Also, control schemes which allow for simultaneous control of movement duration and distance are identified.ududLastly, it is shown that the generic formulation of the EP hypothesis fails to account for the interaction torques arising in multijoint movements. Extensions are proposed which address this shortcoming while maintaining its two basic assumptions: control signals in positional rather than force-based frames of reference; and the primacy of control properties intrinsic to the body over internal models. It is concluded that the EP hypothesis cannot be rejected for single- or multijoint reaching movements based on claims that predicted movement kinematics are unrealistic.
机译:本文的目的是研究人体的内在动力学与其神经控制之间的关系。具体来说,它研究了骨骼骨骼特性对平衡点(EP)假设框架内简单目标定向运动所需的控制信号的影响。为此,单独研究各种复杂性的肌肉模型,并将其与源自EP假设的反馈定律耦合在一起。结果表明,由非线性肌肉骨骼模型形成的动态景观在关节空间中具有稳定的吸引子,其位置,刚度和粘度等特性可通过拮抗性肌肉的差异激活和共同激活来控制。这种吸引子的出现创造了一种新的控制水平,降低了系统的自由度,因此构成了低水平的电机协同作用。描述了这种稳定平衡的性质以及瞬态运动动力学如何取决于肌肉模型基础的各种建模假设。 ud ud然后使用最佳反馈控制方法在选定的肌肉骨骼模型上测试了EP假设。 :遗传算法优化用于识别产生变化幅度和持续时间的平滑单关节和多关节运动的反馈增益。研究了不同反馈分量对重现自然运动运动学中不变式的重要性。事实证明,所得的控制器可以应对可能的反射延迟范围,预测使用速度误差反馈来实现最快的运动,并建议实验观察到的三角肌爆发是一种新兴特征,而不是集中地计划外。同样,确定了允许同时控制运动持续时间和距离的控制方案。 ud ud最后,表明,EP假设的一般表述无法解释多关节运动中产生的相互作用扭矩。提出了扩展方案,以解决该缺点,同时保持其两个基本假设:位置信号而不是基于力的参考系中的控制信号;以及内部模型对身体固有的控制特性的重要性。结论是,基于预测运动运动学是不现实的说法,不能拒绝单关节运动或多关节运动的EP假设。

著录项

  • 作者

    Buhrmann Thomas;

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  • 年度 2010
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  • 原文格式 PDF
  • 正文语种 en
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