Ramdani Sofiane, Seigle Benoît, Lagarde Julien, Bouchara Frédéric, Bernard Pierre Louis
EA 2991 Efficience et Déficience Motrices, Université de Montpellier I, 700, Av. du Pic St Loup, Montpellier, France.
Med Eng Phys. 2009 Oct;31(8):1023-31. doi: 10.1016/j.medengphy.2009.06.004. Epub 2009 Jul 15.
We analyze the irregularity of human postural sway data during quiet standing using the sample entropy (SampEn) algorithm. By considering recent methodological developments, we show that the SampEn parameter is able to characterize the irregularity of the center of pressure fluctuations through the analysis of the velocity variable. We present a practical method to select the input parameters of the SampEn algorithm. We show that the computed SampEn successfully discriminates two sensory conditions (eyes-open and eyes-closed) in a group of healthy young adults. We also perform surrogate data tests to investigate the nature of the underlying dynamics of our experimental data. Finally, the results of the proposed approach are compared to those obtained with the multiscale entropy algorithm.
我们使用样本熵（SampEn）算法分析安静站立期间人体姿势摆动数据的不规则性。通过考虑近期的方法学进展，我们表明SampEn参数能够通过对速度变量的分析来表征压力中心波动的不规则性。我们提出了一种选择SampEn算法输入参数的实用方法。我们表明，计算得到的SampEn能够成功区分一组健康年轻成年人的两种感觉条件（睁眼和闭眼）。我们还进行了替代数据测试，以研究我们实验数据潜在动力学的性质。最后，将所提出方法的结果与多尺度熵算法得到的结果进行比较。
