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在上肢快速运动过程中,手臂肌肉活动与时间的关系:运动学理论预测的比例效应的观察。

Time-dependence between upper arm muscles activity during rapid movements: observation of the proportional effects predicted by the kinematic theory.

机构信息

École Polytechnique de Montréal, Laboratoire Scribens, Département de Génie Électrique, C.P. 6079, Succursale Centre-Ville, Montréal, QC, Canada H3C 3A7.

出版信息

Hum Mov Sci. 2013 Oct;32(5):1026-39. doi: 10.1016/j.humov.2012.07.006. Epub 2012 Dec 6.

Abstract

Rapid human movements can be assimilated to the output of a neuromuscular system with an impulse response modeled by a Delta-Lognormal equation. In such a model, the main assumption concerns the cumulative time delays of the response as it propagates toward the effector following a command. To verify the validity of this assumption, delays between bursts in electromyographic (EMG) signals of agonist and antagonist muscles activated during a rapid hand movement were investigated. Delays were measured between the surface EMG signals of six muscles of the upper limb during single rapid handwriting strokes. From EMG envelopes, regressions were obtained between the timing of the burst of activity produced by each monitored muscle. High correlation coefficients were obtained supporting the proportionality of the cumulative time delays, the basic hypothesis of the Delta-Lognormal model. A paradigm governing the sequence of muscle activities in a rapid movement could, in the long run, be useful for applications dealing with the analysis and synthesis of human movements.

摘要

快速的人体运动可以被视为神经系统输出的结果,其中肌肉响应可以通过 Delta-Lognormal 方程来建模。在这样的模型中,主要的假设是关于响应在跟随指令传播到效应器时的累积时间延迟。为了验证这一假设,研究了在快速手部运动期间激活的拮抗剂和拮抗剂肌肉的肌电图 (EMG) 信号中爆发之间的延迟。延迟是在单次快速手写笔划期间上肢的六块肌肉的表面 EMG 信号之间测量的。从 EMG 包络中,获得了每个监测肌肉的活动爆发时间之间的回归。高相关系数支持了累积时间延迟的比例性,这是 Delta-Lognormal 模型的基本假设。从长远来看,控制快速运动中肌肉活动顺序的范例可能对涉及人类运动分析和综合的应用有用。

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