Chaos and heart rate variability

Author

Vibe, Karin ; Vesin, Jean-Marc ; Pruvot, Etienne

Author_Institution

Swiss Federal Inst. of Technol., Lausanne, Switzerland

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

1481

Abstract

The chaotic nature of healthy HRV is a topic of debate in the scientific community. Since most previous studies concluding at possible chaotic dynamics use correlation dimension and return maps, this paper uses other methods aimed at chaos detection, namely local intrinsic dimension, maximum Lyapunov exponent computation and nonlinear prediction, in order to see if their results are consistent with the former ones. The results obtained all lead to a dismissal of a chaotic model for HRV in healthy patients

Keywords

Lyapunov methods; biocontrol; cardiology; chaos; physiological models; prediction theory; signal detection; chaos detection; chaotic dynamics; chaotic nature; correlation dimension; healthy HRV; healthy patients; heart rate variability; local intrinsic dimension; maximum Lyapunov exponent computation; nonlinear prediction; return maps; Chaos; Delay; Fractals; Heart rate variability; Microwave integrated circuits; Noise robustness; Oscilloscopes; Performance analysis; Piecewise linear techniques; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579787

Filename

579787