首页> 美国卫生研究院文献>Philosophical transactions. Series A Mathematical physical and engineering sciences >Assessment of cardiovascular regulation through irreversibility analysis of heart period variability: a 24 hours Holter study in healthy and chronic heart failure populations
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Assessment of cardiovascular regulation through irreversibility analysis of heart period variability: a 24 hours Holter study in healthy and chronic heart failure populations

机译:通过心周期变异性的不可逆性分析评估心血管调节作用:一项针对健康和慢性心力衰竭人群的24小时动态心电图研究

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摘要

We propose an approach based on time reversibility analysis to characterize the cardiovascular regulation and its nonlinearities as derived from 24 hours Holter recordings of heart period variability in a healthy population (n=12, age: median=43 years, range=34–55 years) and in a pathological group of age-matched chronic heart failure (CHF) patients (n=13, primarily in NYHA class II, age: median=37 years, range=33–56 years, ejection fraction: median=25%, range=13–30%). Two indices capable of detecting nonlinear irreversible dynamics according to different strategies of phase-space reconstruction (i.e. a fixed two-dimensional phase-space reconstruction and an optimal selection of the embedding dimension, respectively) are tested and compared with a more traditional nonlinear index based on local nonlinear prediction. Results showed that nonlinear dynamics owing to time irreversibility at short time scales are significantly present during daytime in healthy subjects, more frequently present in the CHF population and less frequently during night-time in both groups, thus suggesting their link with a dominant sympathetic regulation and/or with a vagal withdrawal. On the contrary, nonlinear dynamics owing to time irreversibility at longer, dominant time scales were insignificantly present in both groups. During daytime in the healthy population, irreversibility was mostly due to the presence of asymmetric patterns characterized by bradycardic runs shorter than tachycardic ones. Nonlinear dynamics produced by mechanisms different from those inducing temporal irreversibility were significantly detectable in both groups and more frequently during night-time. The present study proposes a method to distinguish different types of nonlinearities and assess their contribution over different temporal scales. Results confirm the usefulness of this method even when applied in uncontrolled experimental conditions such as those during 24 hours Holter recordings.
机译:我们提出一种基于时间可逆性分析的方法,以表征健康人群(n = 12,年龄:中位= 43岁,范围= 34-55岁)24小时动态心电图记录的动态心电图记录及其心血管非线性)和病理匹配的一组年龄匹配的慢性心力衰竭(CHF)患者(n = 13,主要在NYHA II级患者中,年龄:中位= 37岁,范围= 33-56岁,射血分数:中位= 25%,范围= 13–30%)。测试了两个能够根据不同的相空间重构策略(分别是固定的二维相空间重构和嵌入尺寸的最佳选择)检测非线性不可逆动力学的指标,并将其与基于传统的非线性指标的比较关于局部非线性预测。结果表明,在健康受试者中,白天由于短时间尺度的时间不可逆性而引起的非线性动力学显着存在,在CHF人群中更常见,而在夜间则更不常见,这表明它们与主要的交感神经调节有关。 /或迷路撤药。相反,两组由于时间不可逆而在较长的主导时间尺度上存在非线性动力学。在白天,健康人群的不可逆性主要是由于存在以心动过缓比心动过速短的不对称模式。与诱导时间不可逆的机制不同,由机制产生的非线性动力学在两组中均明显检测到,并且在夜间更为常见。本研究提出了一种区分不同类型的非线性并评估其在不同时间尺度上的贡献的方法。结果证实了该方法的有用性,即使在不受控制的实验条件下(例如在24小时动态心电图记录期间)也是如此。

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