Analysis of degree of nonlinearity and stochastic nature of HRV signal during meditation using delay vector variance method
Analysis of degree of nonlinearity and stochastic nature of HRV signal during meditation using delay vector variance method
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DOI：
10.1109/iembs.2011.6090746
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
L. Reddy;Srinivas Kuntamalla
中科院分区：
文献类型：
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作者：
L. Reddy;Srinivas Kuntamalla
心率变异性分析作为一种潜在的非侵入性自主神经系统评估方法，在研究和临床领域正迅速获得认可。在这项研究中，一种新的非线性分析方法被用来检测的程度的非线性和随机性的心率变异性信号在两种形式的冥想（智和昆达里尼）。从在线和广泛使用的公共数据库获得的数据（即，MIT/BIH physionet数据库）。所使用的方法是延迟矢量方差（DVV）的方法，这是一个统一的方法，用于检测存在的确定性和非线性的时间序列，是基于检查本地的可预测性的信号。从结果中可以清楚地看出，在冥想之前和冥想期间，信号的非线性和随机性质存在显著变化（p值> 0.01）。在Chi冥想期间，信号的随机性质增加，非线性性质减少。在昆达里尼冥想期间，非线性和随机性的程度显著降低。
Heart rate variability analysis is fast gaining acceptance as a potential non-invasive means of autonomic nervous system assessment in research as well as clinical domains. In this study, a new nonlinear analysis method is used to detect the degree of nonlinearity and stochastic nature of heart rate variability signals during two forms of meditation (Chi and Kundalini). The data obtained from an online and widely used public database (i.e., MIT/BIH physionet database), is used in this study. The method used is the delay vector variance (DVV) method, which is a unified method for detecting the presence of determinism and nonlinearity in a time series and is based upon the examination of local predictability of a signal. From the results it is clear that there is a significant change in the nonlinearity and stochastic nature of the signal before and during the meditation (p value > 0.01). During Chi meditation there is a increase in stochastic nature and decrease in nonlinear nature of the signal. There is a significant decrease in the degree of nonlinearity and stochastic nature during Kundalini meditation.