DocumentCode :
2039335
Title :
Positive correlation between heart rate variability and stochastic nervous modulation - a computer simulation study
Author :
Zhang, Henggui ; Zhang, JQ ; Holden, AV
Author_Institution :
Univ. of Manchester, Manchester, UK
fYear :
2009
fDate :
13-16 Sept. 2009
Firstpage :
437
Lastpage :
440
Abstract :
Cardiac rhythm is irregular with heart rate varies from time to time. Heart rate variation (HRV) is clinically relevant and indicative of a pathological condition. However, the mechanisms underlying the HRV are still controversial and stochastic nervous modulation may be a major responsible factor. In this study, we implemented a computer simulation study to investigate a causative link between stochastic autonomic nervous modulation and the HRV. It was shown that stochastic activity of parasympathetic nerve system (i.e., by application of acetylcholine) produces varying rate of cardiac pacemaker potentials that presents "chaotic" characteristics although the underlying process is stochastic. A positive correlation between the measured time series of CL and ACh has also been revealed. This study provides a solid evidence to support the hypothesis that stochastic nervous modulation is associated with the HRV, which may be produced by a deterministic system driven by a stochastic process, even though it can show ¿chaotic¿ characteristics.
Keywords :
bioelectric potentials; cardiology; neurophysiology; pacemakers; physiological models; stochastic processes; cardiac pacemaker potentials; chaotic characteristics; computer simulation study; heart rate variability; parasympathetic nerve system; pathological condition; positive correlation; stochastic nervous modulation; stochastic process; time series; Application software; Chaos; Computer simulation; Heart rate; Heart rate variability; Pacemakers; Pathology; Rhythm; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2009
Conference_Location :
Park City, UT
ISSN :
0276-6547
Print_ISBN :
978-1-4244-7281-9
Electronic_ISBN :
0276-6547
Type :
conf
Filename :
5445377
Link To Document :
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