DocumentCode
406882
Title
A new stochastic model to interpret heart rate variability
Author
Lu, Sheng ; Kanters, Jorgen ; Chon, Ki H.
Author_Institution
Dept. of Biomed. Eng., SUNY, Stony Brook, NY, USA
Volume
3
fYear
2003
fDate
17-21 Sept. 2003
Firstpage
2303
Abstract
While ample evidence suggests heart rate control is nonlinear, controversies abound as to whether or not heart rate dynamics involve deterministic chaos. Our analysis, based on the method developed, suggests that heart rate variability can be characterized by bounded random processes and the degree of boundedness becomes tighter with disease conditions such as myocardial infarction.
Keywords
autoregressive processes; cardiology; chaos; diseases; medical signal processing; physiological models; random processes; bounded random processes; deterministic chaos; heart rate variability; myocardial infarction; stochastic model; Biomedical engineering; Cardiac disease; Chaos; Heart rate; Heart rate variability; Myocardium; Physiology; Predictive models; Random processes; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7789-3
Type
conf
DOI
10.1109/IEMBS.2003.1280376
Filename
1280376
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