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Sample Entropy, Univariate, and Multivariate Multi-Scale Entropy in Comparison with Classical Postural Sway Parameters in Young Healthy Adults

机译:样本熵,单变量和多元多尺度熵与年轻健康成年人的经典姿势摇摆参数比较

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The present study aimed to compare various entropy measures to assess the dynamics and complexity of center of pressure (COP) displacements. Perturbing balance tests are often used in healthy subjects to imitate either pathological conditions or to test the sensitivity of postural analysis techniques. Eleven healthy adult subjects were asked to stand in normal stance in three experimental conditions while the visuo-kinesthetic input was altered. COP displacement was recorded using a force plate. Three entropy measures [Sample Entropy (SE), Multi-Scale Entropy (MSE), and Multivariate Multi Scale Entropy (MMSE)] describing COP regularity at different scales were compared to traditional measures of COP variability. The analyses of the COP trajectories revealed that suppression of vision produced minor changes in COP displacement and in the COP characteristics. The comparison with the reference analysis showed that the entropy measures analysis techniques are more sensitive in the incremented time series compared to the classical parameters and entropy measures of original time series. Non-linear methods appear to be an additional valuable tool for analysis of the dynamics of posture especially when applied on incremental time series.
机译:本研究旨在比较各种熵测度,以评估压力中心(COP)位移的动力学和复杂性。干扰平衡测试通常用于健康受试者中,以模仿病理状况或测试姿势分析技术的敏感性。十一名健康的成年受试者被要求在三种实验条件下保持正常姿势,而视觉-运动感觉输入被改变。使用测力板记录COP位移。将描述不同尺度下COP规律性的三种熵测度[样本熵(SE),多尺度熵(MSE)和多变量多尺度熵(MMSE)]与传统的COP变异性测度进行了比较。对COP轨迹的分析表明,视觉抑制会导致COP位移和COP特征的微小变化。与参考分析的比较表明,与经典参数和原始时间序列的熵测度相比,熵测度分析技术在递增的时间序列中更为敏感。非线性方法似乎是分析姿势动力学的另一种有价值的工具,尤其是当应用于增量时间序列时。

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