通过肌电信号的时间参数研究肌肉收缩

M.A.C. Garcia, M.N. Souza
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引用次数: 3

摘要

这项工作提出了基于肌电信号的时间参数的肌肉收缩分析。该参数是信号相邻过零之间的间隔。由于它是一种随机变量,它的特征是由它的直方图得出的统计性质。在本文中,获得这种统计性质的系统方法是对参数直方图拟合一个概率分布函数,即威布尔函数。在4个不同的组中,按性别和训练条件分开,研究了肌肉训练前后拟合函数的集中趋势和离散度的结果。这些结果指出,这些统计特性有助于分析肌肉收缩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of muscle contraction through a temporal parameter of the myoelectric signal
This work presents the analysis of muscular contraction based on a temporal parameter of the myoelectric signal. This parameter is the intervals between adjacent zero crossings of the signal. Since it is a kind of random variable, it is characterized by statistical properties derived from its histogram. In this paper the systematic way of obtaining such statistical properties was to fit a probability distribution function, the Weibull function, to the parameter histogram. The results of central tendency and dispersion of the fitted function were studied before and after a muscular training period in 4 different groups, separated by sex and for training conditions. These results point out that these statistical properties can contribute in the analysis of the muscular contraction.
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