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首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >Linear correlation between fractal dimension of surface EMG signal from Rectus Femoris and height of vertical jump
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Linear correlation between fractal dimension of surface EMG signal from Rectus Femoris and height of vertical jump

机译:直肌的表面肌电信号分形维数与垂直跳动高度的线性相关

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摘要

Fractal dimension was demonstrated to be able to characterize the complexity of biological signals. The EMG time series are well known to have a complex behavior and some other studies already tried to characterize these signals by their fractal dimension. This paper is aimed at studying the correlation between the fractal dimension of surface EMG signal recorded over Rectus Femoris muscles during a vertical jump and the height reached in that jump. Healthy subjects performed vertical jumps at different heights. Surface EMG from Rectus Femoris was recorded and the height of each jump was measured by an optoelectronic motion capture system. Fractal dimension of sEMG was computed and the correlation between fractal dimension and eight of the jump was studied. Linear regression analysis showed a very high correlation coefficient between the fractal dimension and the height of the jump for all the subjects. The results of this study show that the fractal dimension is able to characterize the EMG signal and it can be related to the performance of the jump. Fractal dimension is therefore an useful tool for EMG interpretation.
机译:分形维数被证明能够表征生物信号的复杂性。众所周知,EMG时间序列具有复杂的行为,并且其他一些研究已经尝试通过分形维数来表征这些信号。本文旨在研究在垂直跳跃过程中记录在直肌上的表面肌电信号的分形维数与该高度之间的相关性。健康的受试者在不同的高度进行垂直跳跃。记录来自直肠直肌的表面肌电图,并通过光电运动捕获系统测量每个跳跃的高度。计算了sEMG的分形维数,研究了分形维数与8个跃迁的相关性。线性回归分析显示,所有受试者的分形维数与跳跃高度之间的相关系数都很高。这项研究的结果表明,分形维能够表征EMG信号,并且它与跳跃的性能有关。因此,分形维数是用于EMG解释的有用工具。

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