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Two-dimensional orthoglide mechanism for revealing areflexive human arm mechanical properties

机译:用于揭示Welflexive人臂机械性能的二维正交机理

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摘要

The most accurate and dependable approach to the in-vivo identification of human limb stiffness is by position perturbation. Moving the limb over a small distance and measuring the effective force gives, when states are steady, direct information about said stiffness. However, existing manipulandi are comparatively slow and/or not very stiff, such that a lumped stiffness is measured. This lumped stiffness includes the limb response during or after reflexes influenced by both, the passive musculotendon and active neuronal component.ududAs this approach usually leads to inconsistencies between the data and the stiffness model, we argue in favour of fast, pre-reflex impedance measurements---i.e., completing the perturbation movement and collecting the data before effects of spinal reflexes or even from the motor cortex can influence the measurements. To obtain such fast planar movements, we constructed a dedicated orthoglide robot while focusing on a lightweight and stiff design. Our subject study of a force task with this device lead to very clean data with always positive definite Cartesian stiffness matrices. By representing them as ellipses, we found them to be substantially bigger in comparison to standard literature which we address to a larger number of recruited motor units. While ellipses orientation and the length of their main axis increased, the shape decreased with the exerted force. The device will be used to derive design criteria for variable-stiffness robots, and to investigate the relation between muscular activity and areflexive joint stiffness for tele-operational approaches.
机译:人肢刚度的体内识别最准确和可靠的方法是通过位置扰动。将肢体在小距离上移动并测量有效力给出,当状态稳定时,有关所述刚度的直接信息。然而,现有的Manipulandi相对较慢和/或不是非常僵硬,使得测量块状刚度。这种集成的刚度包括由无源肌肉蛋白和有源神经元成分影响的反射过程中的肢体反应。 ud udas这种方法通常会导致数据和刚度模型之间的不一致,我们赞成快速,预先反射阻抗测量 - 即,完成扰动运动并在脊柱反射效果或甚至从电动机皮层的效果之前收集数据可以影响测量。为了获得这种快速的平面运动,我们建造了专用的正交机器人,同时专注于轻质和坚硬的设计。我们对该设备的力任务的主题研究导致具有非常清洁的数据,始终是正定的笛卡尔僵硬矩阵。通过将其代表为省略号,我们发现它们与我们解决了更多招募电机单元的标准文献相比,我们基本更大。虽然椭圆方向和主轴的长度增加,但由于施加力而降低。该器件将用于导出可变刚度机器人的设计标准,并研究肌肉活动与远程操作方法的关节刚度之间的关系。

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