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On the use of approximate entropy and sample entropy with centre of pressure time-series

机译:关于以压力时间序列为中心的近似熵和样本熵的使用

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摘要

BackgroundApproximate entropy (ApEn) and sample entropy (SampEn) have been previously used to quantify the regularity in centre of pressure (COP) time-series in different experimental groups and/or conditions. ApEn and SampEn are very sensitive to their input parameters: m (subseries length), r (tolerance) and N (data length). Yet, the effects of changing those parameters have been scarcely investigated in the analysis of COP time-series. This study aimed to investigate the effects of changing parameters m, r and N on ApEn and SampEn values in COP time-series, as well as the ability of these entropy measures to discriminate between groups.
机译:背景技术先前已经使用近似熵(ApEn)和样本熵(SampEn)来量化不同实验组和/或条件下压力中心(COP)时间序列的规律性。 ApEn和SampEn对它们的输入参数非常敏感:m(子序列长度),r(公差)和N(数据长度)。然而,在COP时间序列分析中几乎没有研究过更改这些参数的影响。这项研究旨在研究参数m,r和N的变化对COP时间序列中ApEn和SampEn值的影响,以及这些熵测度区分组的能力。

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