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Joint angles and angular velocities and relevance of eigenvectors during prehension in the monkey

机译:猴子抓握过程中的联合角和角速度及其特征向量的相关性

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摘要

Hand shaping during prehension involves intricate coordination of a complex system of bones, joints, and muscles. It is widely hypothesized that the motor system uses strategies to reduce the degrees of independent control. Both biomechanical constraints that result in coupling of the fingers and joints and neural synergies act to simplify the control problem. Synergies in hand shaping are typically defined using principal component-like analyses to define orthogonal patterns of movement. Although much less examined, joint angle velocities are also important parameters governing prehension. The primary goal of this study was to evaluate joint angles and joint angle velocities during prehension in monkeys. Fourteen joint angles and angular velocities were measured as monkeys reached to and grasped a set of objects designed to systematically vary hand shapes. Hand shaping patterns in joint angles and velocities were examined using singular value decomposition (SVD). Highly correlated patterns of movements were observed in both joint angles and joint angle velocities, but there was little correlation between the two, suggesting that velocities are controlled separately. Joint angles and velocities can be defined by a small number of eigenvectors by SVD. The unresolved question of the functional relevance of higher-order eigenvectors was also evaluated. Results support that higher-order components are not easily distinguished from noise and are likely not of physiological significance.
机译:握力过程中的手形涉及复杂的骨骼,关节和肌肉系统的协调。广泛假设电动机系统使用策略来降低独立控制的程度。导致手指和关节耦合的生物力学约束和神经协同作用都可以简化控制问题。通常使用类似于主成分的分析来定义手形的协同作用,以定义正交的运动模式。尽管检查少得多,但关节角速度也是控制角度的重要参数。这项研究的主要目的是评估猴子在抓握过程中的关节角度和关节角度速度。当猴子到达并抓住一组旨在系统地改变手形的物体时,测量了十四个关节角度和角速度。使用奇异值分解(SVD)检查了关节角度和速度上的手部塑形模式。在关节角和关节角速度上都观察到高度相关的运动模式,但是两者之间的相关性很小,这表明速度是分别控制的。关节角度和速度可以通过SVD的少量特征向量来定义。还评估了高阶特征向量的功能相关性未解决的问题。结果表明,高阶分量很难与噪声区分开,并且可能没有生理意义。

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