A phenomenology model of normal sinus rhythm in healthy humans

Author

Lin, Der Chyan ; Hughson, Richard Lee

Author_Institution

Mech. Eng. Dept., Ryerson Univ., Toronto, Ont., Canada

Volume

49

Issue

2

fYear

2002

Firstpage

97

Lastpage

109

Abstract

The fractal component in the daytime healthy heartbeat interval data is studied from the perspective of cascade in fluid turbulence. Based on the electrophysiology of the heart muscle cell, a bounded random cascade model is assumed and the scaling property of the model is derived. In application, a "cascade decomposition" is proposed to extract the model parameter based on the experimental data. Simulation results show that healthy heart rate variability (HRV) can be well captured by the multiplicative process and imply the significance of sympatho-vagal interaction in the fractal component of long-term healthy HRV.

Keywords

Gaussian distribution; cardiology; fractals; log normal distribution; nonlinear dynamical systems; physiological models; Gaussian transition; RR interval; bounded random cascade model; cascade decomposition; daytime healthy heartbeat interval data; electrophysiology; fluid turbulence cascade; fractal component; healthy HRV; healthy humans; heart muscle cell; higher order statistics; increment probability density function; lognormal distribution; model parameter extraction; model simulation; multifractal scale invariance; normal sinus rhythm; phenomenology model; scaling property; sympathovagal interaction; Data mining; Fractals; Heart beat; Heart rate; Heart rate variability; Helium; Humans; Muscles; Physiology; Rhythm; Computer Simulation; Electrocardiography; Fractals; Heart Rate; Humans; Models, Cardiovascular; Reference Values; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.979349

Filename

979349