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人类手腕运动的轨迹。

The trajectory of human wrist movements.

作者信息

Stein R B, Cody F W, Capaday C

机构信息

Department of Physiology, University of Alberta, Edmonton, Canada.

出版信息

J Neurophysiol. 1988 Jun;59(6):1814-30. doi: 10.1152/jn.1988.59.6.1814.

DOI:10.1152/jn.1988.59.6.1814
PMID:3404206
Abstract
  1. To determine the form of human movement trajectories and the factors that determine this form, normal subjects performed wrist flexion movements against various elastic, viscous, and inertial loads. The subjects were instructed with visual and auditory feedback to make a movement of prescribed amplitude in a present period of time, but were free to choose any trajectory that fulfilled these constraints. 2. The trajectories were examined critically to determine if they corresponded to those which would minimize the root mean square (RMS) value of some kinematic variable or of energy consumption. The data agreed better with the trajectory that minimized the RMS value of jerk (the third derivative of length) than that of acceleration. However, systematic deviations from the minimum jerk predictions were consistently observed whenever movements were made against elastic and viscous loads. 3. Improved agreement could generally be obtained by assuming that the velocity profile varied according to a normal (Gaussian) curve. We conclude that minimization of jerk is not a general principle used by the nervous system in organizing voluntary movements, although movements may approach the predicted form, particularly under inertial loading conditions. 4. The EMG of the agonist muscles consisted of relatively simple waveforms containing ramplike increases and approximately exponential decays. The form of the movements could often be predicted quite well by using the EMG as an input to a linear second-order model of the muscle plus load. Rather than rigorously minimizing a kinematic variable or energy consumption, the nervous system may generate simple waveforms and adjust the parameters of these waveforms by trial and error until a trajectory is achieved that meets the requirements for a given load.
摘要
  1. 为了确定人体运动轨迹的形式以及决定这种形式的因素,正常受试者针对各种弹性、粘性和惯性负荷进行腕关节屈曲运动。受试者通过视觉和听觉反馈,被要求在当前时间段内做出规定幅度的运动,但可以自由选择任何满足这些限制条件的轨迹。2. 对这些轨迹进行了严格检查,以确定它们是否与能使某些运动学变量或能量消耗的均方根(RMS)值最小化的轨迹相对应。数据与使加加速度(长度的三阶导数)的RMS值最小化的轨迹的吻合度,要优于与使加速度的RMS值最小化的轨迹的吻合度。然而,每当针对弹性和粘性负荷进行运动时,始终会观察到与最小加加速度预测值的系统性偏差。3. 一般来说,通过假设速度分布根据正态(高斯)曲线变化,可以获得更好的吻合度。我们得出结论,使加加速度最小化并非神经系统在组织自主运动时所采用的普遍原则,尽管运动可能接近预测形式,尤其是在惯性负荷条件下。4. 主动肌的肌电图由相对简单的波形组成,包含斜坡状上升和近似指数衰减。通过将肌电图作为肌肉加负荷的线性二阶模型的输入,运动形式通常可以得到很好的预测。神经系统可能不是严格地使运动学变量或能量消耗最小化,而是生成简单的波形,并通过反复试验调整这些波形的参数,直到获得满足给定负荷要求的轨迹。

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