Assessment of heart rate dynamic characteristics during meditation using symbolic dynamics analysis

C. Kamath
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引用次数: 2

Abstract

We present a computationally simple, but efficient method to: 1) estimate how far the symbolic dynamics analysis helps to characterise the nonlinear properties of RR interval time series during two concentration meditation techniques and thereby discriminate between pre-meditation and meditation states; 2) study the balance between the sympathetic and parasympathetic branches of the autonomic nervous system. The symbolic analysis calculations were performed on pre-meditation and meditation RR interval series. This analysis decomposes the series into patterns lasting three-consecutive time points (length-3 symbol sequences) and classifies them into four pattern families based on variability. Differences in these pattern families showed that sympathetic activation is increased during meditation state, while parasympathetic activation predominantly decreased, irrespective of the type of meditation. The entropies derived from the histograms of length-3 symbol sequences show that in both the meditation methods the complex dynamics of the RR interval series is lowered during meditation.
用符号动力学分析评估冥想时的心率动态特征
我们提出了一种计算简单但有效的方法:1)估计符号动力学分析在多大程度上有助于表征两种集中冥想技术期间RR区间时间序列的非线性特性,从而区分预冥想和冥想状态;2)研究自主神经系统交感神经和副交感神经之间的平衡。对预冥想和冥想RR区间序列进行符号分析计算。该分析将序列分解为持续三个连续时间点的模式(长度为3的符号序列),并根据可变性将它们分为四个模式族。这些模式家族的差异表明,在冥想状态下,交感神经激活增加,而副交感神经激活明显减少,与冥想类型无关。由长度为3的符号序列直方图得到的熵表明,两种冥想方法的RR区间序列的复杂动态在冥想过程中都有所降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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