Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, USA.
J Neurophysiol. 2012 Feb;107(4):1230-40. doi: 10.1152/jn.00428.2011. Epub 2011 Nov 30.
When humans rotate their wrist in flexion-extension, radial-ulnar deviation, and combinations, the resulting paths (like the path of a laser pointer on a screen) exhibit a distinctive pattern of curvature. In this report we show that the passive stiffness of the wrist is sufficient to account for this pattern. Simulating the dynamics of wrist rotations using a demonstrably realistic model under a variety of conditions, we show that wrist stiffness can explain all characteristics of the observed pattern of curvature. We also provide evidence against other possible causes. We further demonstrate that the phenomenon is robust against variations in human wrist parameters (inertia, damping, and stiffness) and choice of model inputs. Our findings explain two previously observed phenomena: why faster wrist rotations exhibit more curvature and why path curvature rotates with pronation-supination of the forearm. Our results imply that, as in reaching, path straightness is a goal in the planning and control of wrist rotations. This requires humans to predict and compensate for wrist dynamics, but, unlike reaching, nonlinear inertial coupling (e.g., Coriolis acceleration) is insignificant. The dominant term to be compensated is wrist stiffness.
当人类在屈-伸、桡-尺偏和两者的组合运动中旋转手腕时,产生的路径(如激光笔在屏幕上的路径)呈现出独特的曲率模式。在本报告中,我们表明手腕的被动刚度足以解释这种模式。通过在各种条件下使用一个明显现实的模型来模拟手腕旋转的动力学,我们表明手腕刚度可以解释观察到的曲率模式的所有特征。我们还提供了反对其他可能原因的证据。我们进一步证明,该现象对人体手腕参数(惯性、阻尼和刚度)的变化以及模型输入的选择具有鲁棒性。我们的研究结果解释了两个先前观察到的现象:为什么更快的手腕旋转会表现出更多的曲率,以及为什么路径曲率会随前臂的旋前-旋后而旋转。我们的研究结果表明,与伸手类似,路径的直线性是手腕旋转规划和控制的目标。这需要人类预测和补偿手腕的动力学,但与伸手不同的是,非线性惯性耦合(例如科里奥利加速度)并不重要。需要补偿的主要因素是手腕的刚度。