Network analysis of human heartbeat dynamics

被引：84

作者：

Shao, Zhi-Gang ^{[1
]}

机构：

[1] S China Normal Univ, Lab Quantum Informat Technol, Inst Condensed Matter Phys, Sch Phys & Telecommun Engn, Guangzhou 510006, Peoples R China

来源：

APPLIED PHYSICS LETTERS | 2010年 / 96卷 / 07期

关键词：

cardiology; complex networks; nonlinear dynamical systems; time series; TIME-SERIES; COMPLEX NETWORKS; BEHAVIOR;

D O I：

10.1063/1.3308505

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

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.

引用

页数：3

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