DocumentCode :
1559354
Title :
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
Link To Document :
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