Visibility graph analysis on heartbeat dynamics of meditation training

被引:51
作者
Jiang, Sen [1 ]
Bian, Chunhua [1 ,2 ,3 ]
Ning, Xinbao [1 ]
Ma, Qianli D. Y. [4 ,5 ,6 ]
机构
[1] Nanjing Univ, Inst Biomed Elect Engn, Sch Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China
[2] Boston Univ, Ctr Polymer Studies, Boston, MA 02212 USA
[3] Boston Univ, Dept Phys, Boston, MA 02212 USA
[4] Nanjing Univ Posts & Telecommun, Coll Geog & Biol Informat, Nanjing 210003, Jiangsu, Peoples R China
[5] Harvard Univ, Sch Med, Boston, MA 02115 USA
[6] Brigham & Womens Hosp, Div Sleep Med, Boston, MA 02115 USA
关键词
TIME-SERIES; PHYSIOLOGY; NETWORKS; TOPOLOGY;
D O I
10.1063/1.4812645
中图分类号
O59 [应用物理学];
学科分类号
摘要
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. (C) 2013 AIP Publishing LLC.
引用
收藏
页数:3
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