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重复运动任务中持续调制肌肉活动时间的量化。

Quantification of the timing of continuous modulated muscle activity in a repetitive-movement task.

作者信息

Belavý D L, Wilson S J, Richardson C A

机构信息

School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.

出版信息

Physiol Meas. 2006 Nov;27(11):1143-50. doi: 10.1088/0967-3334/27/11/007. Epub 2006 Sep 20.

Abstract

The timing of muscle activity is commonly measured in studies of motor control. In repetitive-movement tasks, muscle activity may be continuous, and no defined onset or offset of activity may be measured. This does not imply that no timing of muscle activity occurs. Where activity is continuous, this timing will typically be exhibited by modulation of the amplitude of the signal in specific movement phases. The existence of this electromyographic (EMG) timing is dependent upon the existence of EMG amplitude modulation. This paper investigates this relationship in developing a quantification algorithm of EMG timing in a repetitive-movement task. A frequency domain quantification algorithm involving EMG linear-envelope generation is used. An EMG simulation algorithm is used to test this algorithm and determine the minimal amplitude-modulation threshold for timing detection. At five repetitive-movement speeds (25, 50, 75, 100 and 125 cycles of movement per minute), thresholds between 1.558 and 2.326 times maximal to minimal linear-envelope amplitude are required for reliability of timing detection. Analysis of variance indicates that the robustness of the quantification algorithm was not significantly affected by burst width (F = 3.69, p = 0.055) or the underling input timing parameter (F = 0.52, p = 0.992). The phase-lead/lag quantification algorithm represents a useful tool for the analysis motor control via EMG during repetitive-movement tasks.

摘要

在运动控制研究中,肌肉活动的时间通常是被测量的。在重复性运动任务中,肌肉活动可能是持续的,并且可能无法测量到明确的活动起始或结束。但这并不意味着肌肉活动没有时间规律。当活动是持续的时,这种时间规律通常会通过特定运动阶段信号幅度的调制来体现。这种肌电图(EMG)时间规律的存在取决于EMG幅度调制的存在。本文在开发一种重复性运动任务中EMG时间量化算法时研究了这种关系。使用了一种涉及EMG线性包络生成的频域量化算法。使用EMG模拟算法来测试该算法,并确定时间检测的最小幅度调制阈值。在五种重复性运动速度(每分钟25、50、75、100和125个运动周期)下,时间检测的可靠性需要最大到最小线性包络幅度之间1.558至2.326倍的阈值。方差分析表明,量化算法的稳健性不受爆发宽度(F = 3.69,p = 0.055)或基础输入时间参数(F = 0.52,p = 0.992)的显著影响。相位超前/滞后量化算法是在重复性运动任务中通过EMG分析运动控制的一种有用工具。

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