On the use of sample entropy to analyze human postural sway data
✍ Scribed by Sofiane Ramdani; Benoît Seigle; Julien Lagarde; Frédéric Bouchara; Pierre Louis Bernard
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 920 KB
- Volume
- 31
- Category
- Article
- ISSN
- 1350-4533
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✦ Synopsis
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.