A New Stochastic Model to Interpret Heart Rate Variability

Research output: Contribution to journalConference articleResearchpeer-review

Sheng Lu, Jorgen Kanters, Ki H. Chon

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.

Original languageEnglish
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume3
Pages (from-to)2303-2306
Number of pages4
ISSN0589-1019
Publication statusPublished - 1 Dec 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: 17 Sep 200321 Sep 2003

Conference

ConferenceA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryMexico
CityCancun
Period17/09/200321/09/2003
SponsorIEEE EMB

    Research areas

  • Autoregressive model, Bounded random process, Heart rate variability, Myocardial infarction

ID: 204299050