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The Complexity of Standing Postural Control in Older Adults: A Modified Detrended Fluctuation Analysis Based upon the Empirical Mode Decomposition Algorithm

机译：老年人站立式姿势控制的复杂性：基于经验模态分解算法的修正的去趋势波动分析

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Human aging into senescence diminishes the capacity of the postural control system to adapt to the stressors of everyday life. Diminished adaptive capacity may be reflected by a loss of the fractal-like, multiscale complexity within the dynamics of standing postural sway (i.e., center-of-pressure, COP). We therefore studied the relationship between COP complexity and adaptive capacity in 22 older and 22 younger healthy adults. COP magnitude dynamics were assessed from raw data during quiet standing with eyes open and closed, and complexity was quantified with a new technique termed empirical mode decomposition embedded detrended fluctuation analysis (EMD-DFA). Adaptive capacity of the postural control system was assessed with the sharpened Romberg test. As compared to traditional DFA, EMD-DFA more accurately identified trends in COP data with intrinsic scales and produced short and long-term scaling exponents (i.e., αShort, αLong) with greater reliability. The fractal-like properties of COP fluctuations were time-scale dependent and highly complex (i.e., αShort values were close to one) over relatively short time scales. As compared to younger adults, older adults demonstrated lower short-term COP complexity (i.e., greater αShort values) in both visual conditions (p>0.001). Closing the eyes decreased short-term COP complexity, yet this decrease was greater in older compared to younger adults (p<0.001). In older adults, those with higher short-term COP complexity exhibited better adaptive capacity as quantified by Romberg test performance (r2 = 0.38, p<0.001). These results indicate that an age-related loss of COP complexity of magnitude series may reflect a clinically important reduction in postural control system functionality as a new biomarker.
机译：人类衰老到衰老会削弱姿势控制系统适应日常生活压力的能力。自适应姿势能力的降低可能由站立姿势摇摆（即压力中心COP）的动力学中类似分形的多尺度复杂性的损失所反映。因此，我们研究了22位健康的成年人和22位健康的成年人中COP复杂度与适应能力之间的关系。 COP大小动态是在安静站立，睁开眼睛和闭着眼睛时从原始数据评估而来的，其复杂性通过一种称为经验模式分解嵌入去趋势波动分析（EMD-DFA）的新技术进行了量化。用锐化的Romberg检验评估姿势控制系统的适应能力。与传统的DFA相比，EMD-DFA可以更准确地识别具有固有尺度的COP数据趋势，并以更高的可靠性生成短期和长期尺度指数（即αShort，αLong）。 COP波动的分形性质取决于时间尺度，并且在相对较短的时间尺度上非常复杂（即αShort值接近于1）。与年轻人相比，在两种视觉条件下，成年人的短期COP复杂度均较低（即更大的αShort值）（p> 0.001）。闭眼降低了短期COP复杂性，但与年轻人相比，老年人的这种降低更大（p <0.001）。在老年人中，短期COP复杂度较高的人表现出更好的适应能力，这通过Romberg测试性能进行了量化（r 2 = 0.38，p <0.001）。这些结果表明，与年龄有关的COP幅度级数复杂度的丧失可能反映了姿势控制系统功能作为一种新的生物标记物的临床意义上的重要降低。

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