东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (12): 1696-1699.DOI: 10.12068/j.issn.1005-3026.2016.12.006

• 信息与控制 • 上一篇    下一篇

脉搏波的复杂网络分析

赵海, 窦圣昶, 蔡巍, 陈星池   

  1. (东北大学 计算机科学与工程学院, 辽宁 沈阳110169)
  • 收稿日期:2015-07-25 修回日期:2015-07-25 出版日期:2016-12-15 发布日期:2016-12-23
  • 通讯作者: 赵海
  • 作者简介:赵海(1959-),男,辽宁沈阳人,东北大学教授,博士生导师.
  • 基金资助:
    国家科技支撑计划项目(2012BAH82F04); 辽宁省科学技术计划项目(2015401039); 沈阳市科技创新项目(F15-199-1-03).

Complex Network Analysis of Pulse Wave

ZHAO Hai, DOU Sheng-chang, CAI Wei, CHEN Xing-chi   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2015-07-25 Revised:2015-07-25 Online:2016-12-15 Published:2016-12-23
  • Contact: DOU Sheng-chang
  • About author:-
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摘要: 脉搏波是人体重要的生理信号之一,从新的角度探索脉搏波的分析手段是脉搏波研究的一个重要方向.在分析现有脉搏波时域、频域分析方法的基础上,将复杂网络的分析方法引入脉搏波的分析之中,以拓展脉搏波的研究维度.分析了时间序列的网络化方法的现状,选择使用基于水平可见性(horizontal visibility graphs, HVG)的网络化方法对脉搏波进行网络化分析.获得使用脉搏波构建的网络的特性参数,确定了脉搏波网络的无标度特性,并从生理状态的角度进行了解释,为脉搏波的研究提供了一种新的手段.

关键词: 脉搏波, 体域网, 复杂网络, HVG, 无标度

Abstract: Pulse wave is one of the important physiological signals in human body. It is an important direction to explore the pulse wave analysis method from the new angle. On the basis of analyzing the existing methods of time domain and frequency domain, the analysis method of complex network was introduced into the analysis of pulse wave to expand the research dimension of pulse wave. Analyzed the present situation of the time series of network method. Horizontal visibility graphs (HVG) network analysis method was used in the analysis of pulse wave network. The characteristic parameters of pulse wave networks were obtained, and the scale-free characteristic of the pulse wave network was determined, which was also be explained in the perspective of physiological state. It provides a new method for the study of pulse wave.

Key words: pulse wave, body area network, complex network, HVG, scale-free

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