Laboratory of Complex System Modeling, Department of Biomedical Sciences for Health, University of Milan Milan, Italy ; IRCCS Galeazzi Orthopedic Institute Milan, Italy.
Department of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato Milan, Italy.
Front Physiol. 2015 Mar 10;6:71. doi: 10.3389/fphys.2015.00071. eCollection 2015.
Two diverse complexity metrics quantifying time irreversibility and local prediction, in connection with a surrogate data approach, were utilized to detect nonlinear dynamics in short heart period (HP) variability series recorded in fetuses, as a function of the gestational period, and in healthy humans, as a function of the magnitude of the orthostatic challenge. The metrics indicated the presence of two distinct types of nonlinear HP dynamics characterized by diverse ranges of time scales. These findings stress the need to render more specific the analysis of nonlinear components of HP dynamics by accounting for different temporal scales.
两种不同的复杂度度量方法，用于量化时间的不可逆性和局部预测，结合替代数据方法，被用来检测胎儿的短心动周期（HP）变异性序列中的非线性动力学，作为妊娠周期的函数，以及在健康人中，作为直立挑战幅度的函数。这些度量方法表明存在两种不同类型的非线性 HP 动力学，其特征是不同的时间尺度范围。这些发现强调了需要通过考虑不同的时间尺度来更具体地分析 HP 动力学的非线性成分。
