Heart rate dynamics assessed by different strategies of symbolization

D. Cysarz, A. Porta, N. Montano, J. Kurths, N. Wessel, F. Edelhauser, P. van Leeuwen
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引用次数: 1

Abstract

The analysis of symbolic dynamics applied to the RR interval series is able to retrieve information about dynamical properties. Three different strategies of symbolic transformations were investigated: (1) symbolization based on the deviation from the average, (2) symbolization based on equidistant levels between the minimum and maximum, (3) binary symbolization of the first derivative. Each method was applied to the RR interval series and its difference of 17 healthy subjects obtained during head-up tilt testing. Dynamical properties were assessed by the occurrence of short sequences (`words') of length 3. The occurrence of words was grouped according to variations of the symbols in each word (0, 1, and 2 variations). Linear regression analysis showed that the occurrence of these words reflects changes of heart rate dynamics during graded head-up tilt. Hence, very short symbolic sequences are able to track changes of the cardiac autonomic regulation.
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不同符号化策略评估心率动态
将符号动力学分析应用于RR区间序列,可以检索到有关动态特性的信息。研究了三种不同的符号变换策略:(1)基于均值偏差的符号化,(2)基于最小值和最大值之间等距的符号化,(3)一阶导数的二进制符号化。将每种方法应用于17名健康受试者平视倾斜试验中获得的RR区间序列及其差异。动态特性通过出现长度为3的短序列(“单词”)来评估。根据每个单词中符号的变化(0、1和2变化)对单词的出现进行分组。线性回归分析表明,这些词的出现反映了梯度平视倾斜过程中心率动态的变化。因此,非常短的符号序列能够跟踪心脏自主调节的变化。
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