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人体肘部运动距离的非线性控制

Nonlinear control of movement distance at the human elbow.

作者信息

Gottlieb G L, Chen C H, Corcos D M

机构信息

NeuroMuscular Research Center, Boston University, MA 02215, USA.

出版信息

Exp Brain Res. 1996 Nov;112(2):289-97. doi: 10.1007/BF00227647.

Abstract

The kinematic, kinetic, and electromyographic (EMG) patterns observed during fast, single-joint flexion movement have been widely studied as a paradigm for understanding voluntary movement. Several patterns have been described that depend upon the movement task (e.g., distance, speed, and load). A previous model that interpreted differences in EMG patterns in terms of pulse-height or pulse-width modulation of rectangular pulses of motoneuron pool excitation cannot explain all the EMG patterns reported in the literature. We proposed a more general version of that model, consisting of a set of four equations, which specify the parameters of the excitation pulses for a wide variety of movement tasks. Here we report experiments in which subjects performed fast elbow flexions over a range of distances from 2.8 degrees to 45 degrees. The EMG patterns that we observe are consistent with this more general model. We conclude that this model is sufficient to specify muscle excitation patterns that will launch a movement toward and stop it in the neighborhood of a target. This model operates on the basis of prior knowledge about the task rather than feedback received during the task.

摘要

在快速单关节屈曲运动中观察到的运动学、动力学和肌电图(EMG)模式,作为理解自主运动的范例已得到广泛研究。已经描述了几种取决于运动任务(例如距离、速度和负荷)的模式。先前一个根据运动神经元池兴奋的矩形脉冲的脉冲高度或脉冲宽度调制来解释肌电图模式差异的模型,无法解释文献中报道的所有肌电图模式。我们提出了该模型的一个更通用版本,由一组四个方程组成,这些方程为各种运动任务指定了兴奋脉冲的参数。在此我们报告实验,其中受试者在2.8度至45度的一系列距离上进行快速肘部屈曲。我们观察到的肌电图模式与这个更通用的模型一致。我们得出结论,该模型足以指定肌肉兴奋模式,这种模式将启动向目标的运动并在目标附近使其停止。该模型基于关于任务的先验知识运行,而不是基于任务期间接收到的反馈。

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