On the use of sample entropy to analyze human postural sway data

被引：246

作者：

Ramdani, Sofiane ^{[1
]}

Seigle, Benoit ^{[1
]}

Lagarde, Julien ^{[1
]}

Bouchara, Frederic ^{[2
]}

Bernard, Pierre Louis ^{[1
]}

机构：

[1] Univ Montpellier I, EA Efficience & Deficience Motrices 2991, Montpellier, France

[2] Univ Sud Toulon Var, CNRS, UMR 6168, LSIS, La Garde, France

来源：

MEDICAL ENGINEERING & PHYSICS | 2009年 / 31卷 / 08期

关键词：

Human posture; Center of pressure velocity; Sample entropy; Time series analysis; Surrogate data tests; OF-PRESSURE TRAJECTORIES; APPROXIMATE ENTROPY; CEREBRAL CONCUSSION; HEALTHY-YOUNG; TIME-SERIES; OPEN-LOOP; COMPLEXITY; NONLINEARITY; DIMENSION; SYSTEM;

D O I：

10.1016/j.medengphy.2009.06.004

中图分类号：

R318 [生物医学工程];

学科分类号：

100103 [病原生物学];

摘要：

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. (C) 2009 IPEM. Published by Elsevier Ltd. All rights reserved

引用

页码：1023 / 1031

页数：9

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