Visibility graph analysis on heartbeat dynamics of meditation training
Visibility graph analysis on heartbeat dynamics of meditation training
复制标题
冥想训练心跳动态可见性图分析
DOI：
10.1063/1.4812645
复制
发表时间：
2013-06-24
影响因子：
4
通讯作者：
Ma, Qianli D. Y.
中科院分区：
文献类型：
--
作者：
Jiang, Sen;Bian, Chunhua;Ma, Qianli D. Y.
我们通过构建心跳间隔时间序列的复杂网络并研究气和瑜伽冥想之前和期间网络的统计特性，将可见性图分析应用于人类心跳动力学。实验结果表明，可见性图分析可以揭示冥想训练引起的表现为规律心跳的动态变化，这与自主神经系统的调节密切相关，可见性图分析可以有效评估冥想的效果。
We apply the visibility graph analysis to human heartbeat dynamics by constructing the complex networks of heartbeat interval time series and investigating the statistical properties of the network before and during chi and yoga meditation. The experiment results show that visibility graph analysis can reveal the dynamical changes caused by meditation training manifested as regular heartbeat, which is closely related to the adjustment of autonomous neural system, and visibility graph analysis is effective to evaluate the effect of meditation.