Salmond Layne H, Davidson Andrew D, Charles Steven K
Department of Mechanical Engineering, Brigham Young University, Provo, Utah; and.
Department of Mechanical Engineering, Brigham Young University, Provo, Utah; and
J Neurophysiol. 2017 Mar 1;117(3):1239-1257. doi: 10.1152/jn.00712.2015. Epub 2016 Dec 21.
Smoothness is a hallmark of healthy movement. Past research indicates that smoothness may be a side product of a control strategy that minimizes error. However, this is not the only reason for smooth movements. Our musculoskeletal system itself contributes to movement smoothness: the mechanical impedance (inertia, damping, and stiffness) of our limbs and joints resists sudden change, resulting in a natural smoothing effect. How the biomechanics and neural control interact to result in an observed level of smoothness is not clear. The purpose of this study is to ) characterize the smoothness of wrist rotations, ) compare it with the smoothness of planar shoulder-elbow (reaching) movements, and ) determine the cause of observed differences in smoothness. Ten healthy subjects performed wrist and reaching movements involving different targets, directions, and speeds. We found wrist movements to be significantly less smooth than reaching movements and to vary in smoothness with movement direction. To identify the causes underlying these observations, we tested a number of hypotheses involving differences in bandwidth, signal-dependent noise, speed, impedance anisotropy, and movement duration. Our simulations revealed that proximal-distal differences in smoothness reflect proximal-distal differences in biomechanics: the greater impedance of the shoulder-elbow filters neural noise more than the wrist. In contrast, differences in signal-dependent noise and speed were not sufficiently large to recreate the observed differences in smoothness. We also found that the variation in wrist movement smoothness with direction appear to be caused by, or at least correlated with, differences in movement duration, not impedance anisotropy. This article presents the first thorough characterization of the smoothness of wrist rotations (flexion-extension and radial-ulnar deviation) and comparison with the smoothness of reaching (shoulder-elbow) movements. We found wrist rotations to be significantly less smooth than reaching movements and determined that this difference reflects proximal-distal differences in biomechanics: the greater impedance (inertia, damping, stiffness) of the shoulder-elbow filters noise in the command signal more than the impedance of the wrist.
流畅性是健康运动的一个标志。过去的研究表明,流畅性可能是一种将误差最小化的控制策略的副产品。然而,这并不是动作流畅的唯一原因。我们的肌肉骨骼系统本身也有助于运动的流畅性:我们四肢和关节的机械阻抗(惯性、阻尼和刚度)会抵抗突然的变化,从而产生自然的平滑效果。生物力学和神经控制如何相互作用以产生观察到的流畅程度尚不清楚。本研究的目的是:(1)表征腕关节旋转的流畅性;(2)将其与平面肩 - 肘(伸展)运动的流畅性进行比较;(3)确定观察到的流畅性差异的原因。十名健康受试者进行了涉及不同目标、方向和速度的腕关节和伸展运动。我们发现腕关节运动的流畅性明显低于伸展运动,并且流畅性会随运动方向而变化。为了确定这些观察结果背后的原因,我们测试了一些假设,这些假设涉及带宽、信号相关噪声、速度、阻抗各向异性和运动持续时间的差异。我们的模拟表明,近端 - 远端在流畅性上的差异反映了生物力学上的近端 - 远端差异:肩 - 肘的更大阻抗比腕关节更能过滤神经噪声。相比之下,信号相关噪声和速度的差异不够大,无法重现观察到的流畅性差异。我们还发现,腕关节运动流畅性随方向的变化似乎是由运动持续时间的差异引起的,或者至少与之相关,而不是阻抗各向异性。本文首次全面表征了腕关节旋转(屈伸和桡尺偏斜)的流畅性,并与伸展(肩 - 肘)运动的流畅性进行了比较。我们发现腕关节旋转的流畅性明显低于伸展运动,并确定这种差异反映了生物力学上的近端 - 远端差异:肩 - 肘的更大阻抗(惯性、阻尼、刚度)比腕关节更能过滤指令信号中的噪声。