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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1280376
