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Analysis of the relation between complexity and multifractality in cardiac inter-beat intervals time series

机译:心跳间隔时间序列中复杂性与多重性之间的关系分析

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Multifractal spectrum has been used as indicative of complexity of time series, the broader the spectrum, the richer and more complex is the structure with a higher degree of multifractality. There is a loss of multifractality of physiological time series when the subject to which these time series belong is not healthy. So time series from subjects with a pathological condition show a clear loss of complexity. In this work we discuss how to characterize the complexity of time series by using the degree of multifractality, in particular, heartbeat interval time series. We observe a loss of multifractality in patients with congestive heart failure, mainly in the sleep phase; we try to explain this loss of multifractality as a loss of complexity produced by the appearance of periodicities in heartbeat interval time series. These periodicities were detected by using the Higuchi's fractal dimension method.
机译:多重分形频谱已被用来表示时间序列的复杂性,频谱越宽,多重分形程度越高的结构就越丰富和复杂。当这些时间序列所属的对象不健康时,就会失去生理时间序列的多重分形性。因此,来自患有病理状况的受试者的时间序列显示出明显的复杂性损失。在这项工作中,我们讨论了如何通过使用多重分形度(尤其是心跳间隔时间序列)来表征时间序列的复杂性。我们观察到充血性心力衰竭患者的多形性丧失,主要是在睡眠阶段。我们尝试将这种多形性损失解释为心跳间隔时间序列中周期性出现而造成的复杂性损失。通过使用Higuchi的分形维数方法检测这些周期性。

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