Complex Network Analysis of Pulse Wave

doi:10.12068/j.issn.1005-3026.2016.12.006

Abstract

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

CLC Number:

R318.04

ZHAO Hai， DOU Sheng-chang， CAI Wei， CHEN Xing-chi. Complex Network Analysis of Pulse Wave[J]. Journal of Northeastern University Natural Science, 2016, 37(12): 1696-1699.

References

[1]王炳和，相敬林.脉搏系数建模与脉象信息分析的研究进展［J］.生物医学工程学杂志，2002，19(2):329-333.(Wang Bing-he，Xiang Jing-lin.Research progress in analysis of pulse coefficient modeling and pulse condition information［J］.Journal of Biomedical Engineering，2002，19(2):329-333.)
[2]罗志昌，张松，杨益民.脉搏波的工程分析与应用［M］.北京:科学出版社，2006:3-4，183-185.(Luo Zhi-chang，Zhang Song，Yang Yi-min.Engineering analysis and application of pulse wave［M］.Beijing:Science Press，2006:3-4，183-185.)
[3]Luque B，Lacasa L，Ballesteros F，et al.Horizontal visibility graphs:exact results for random time series［J］.Physical Review E，2009，80(4):046103.
[4]Lacasa L，Luque B，Ballesteros F，et al.From time series to complex networks:the visibility graph［J］.Proceedings of the National Academy of Sciences，2008，105(13):4972-4975.
[5]Schleussner C F，Divine D V，Donges J F，et al.Indications for a North Atlantic ocean circulation regime shift at the onset of the Little Ice Age［J］.Climate Dynamics，2015，45(11):3623-3633.
[6]Zhang B，Wang J，Fang W.Volatility behavior of visibility graph EMD financial time series from Ising interacting system［J］.Physica A:Statistical Mechanics and Its Applications，2015，432:301-314.
[7]Aragoneses A，Carpi L，Tarasov N，et al.Unveiling temporal correlations in the intensity of a fibre laser during the transition to optical wave turbulence［J］.Physical Review Letters，2015，116(13):1329-1336.
[8]Liu H L，Tang Q，Liu J.Nonlinear analysis of typical hydrological time series under the viewpoint of visibility graph methods and its two modification versions［C］//Proceedings of the 2015 Chinese Intelligent Automation Conference.Berlin:Springer，2015:327-337.
[9]Zhu G，Li Y，Wen P P.Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm［J］.Computer Methods and Programs in Biomedicine，2014，115(2):64-75.

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