Lee UnCheol, Kim Seunghwan, Yi S H
Asia Pacific Center for Theoretical Physics & Nonlinear Complex Systems Laboratory, Department of Physics, Pohang University of Science and Technology, Pohang, 790-784, Korea.
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Jun;71(6 Pt 1):061917. doi: 10.1103/PhysRevE.71.061917. Epub 2005 Jun 24.
The cardiac system shows various scale dynamic activities from secondly to yearly. Therefore multiple time-scale characteristics of heart dynamics have received much attention for understanding and distinguishing healthy and pathological cardiac systems. In this paper we expand the multiple time-scale analysis into event and time scales to investigate scale characteristics in healthy and pathologic cardiac systems. To do this, we define a measure based on symbolic dynamics, which calculates complexity at each time and event scale, called the unit time block entropy (UTBE). This measure allows a reliable comparison of experimental data through matching the number of words and the total measurement time at the same time for all RR interval sequences which are composed of the time durations between consecutive R waves of electrocardiograms. We apply the UTBE to the healthy heart-rate (HR) group and pathological HR groups and find that the RR interval acceleration is more effective than the RR interval in distinguishing each group. And we also find that the normal and pathological HR groups are clearly distinguished in some specific event and time-scale regions.
心脏系统呈现出从秒级到年度的各种尺度的动态活动。因此,心脏动力学的多时间尺度特征在理解和区分健康与病理心脏系统方面受到了广泛关注。在本文中,我们将多时间尺度分析扩展到事件和时间尺度,以研究健康和病理心脏系统中的尺度特征。为此,我们基于符号动力学定义了一种度量,该度量计算每个时间和事件尺度上的复杂性,称为单位时间块熵(UTBE)。这种度量通过同时匹配所有由心电图连续R波之间的时间间隔组成的RR间期序列的单词数量和总测量时间,实现了对实验数据的可靠比较。我们将UTBE应用于健康心率(HR)组和病理HR组,发现RR间期加速度在区分每组时比RR间期更有效。并且我们还发现,正常和病理HR组在一些特定的事件和时间尺度区域中能够清晰区分。