Network analysis of human heartbeat dynamics

作者：Shao; Zhi Gang

来源：Applied Physics Letters, 2010, 96(7): 073703.

DOI：10.1063/1.3308505

• cardiology
• complex networks
• nonlinear dynamical systems
• time series

We construct the complex networks of human heartbeat dynamics and investigate their statistical properties, using the visibility algorithm proposed by Lacasa and co-workers [Proc. Natl. Acad. Sci. U.S.A. 105, 4972 (2008)]. Our results show that the associated networks for the time series of heartbeat interval are always scale-free, high clustering, hierarchy, and assortative mixing. In particular, the assortative coefficient of associated networks could distinguish between healthy subjects and patients with congestive heart failure.

• 出版日期2010-2-15
• 单位华南师范大学