Chaotic characteristics of heart rate and arterial pressure variability signals in 24 hours

Author

Cerutti, S. ; Baselli, G. ; Bianchi, A. ; Signorini, M.G. ; Lissandrello, F. ; Solari, S. ; Furlan, R. ; Malliani, A.

Author_Institution

Dept. of Inf. & Syst. Sci., Rome Univ., Italy

fYear

1991

fDate

23-26 Sep 1991

Firstpage

705

Lastpage

708

Abstract

Results which illustrate a kind of passage from heart rate variability (HRV) spectra to parameters which measure the deterministic chaos properties of long-term RR series are presented. Nonlinear dynamic modeling may account for some information which cannot be explained by the traditional spectral analysis. Some algorithms which enhance statical and dynamical characteristics of the system behavior under a state-phase form are described. A continuity from the spectral parameters which describe physiological rhythms to other parameters which account for statical and dynamical characteristics of a strange attractor which is formed by the trajectories of a state-phase vector which defines the system is discussed

Keywords

chaos; electrocardiography; haemodynamics; physiological models; 24 hr; algorithms; arterial pressure variability; dynamical characteristics; heart rate variability; long-term RR series; nonlinear dynamic modeling; physiological rhythms; signal chaotic characteristics; state-phase form; state-phase vector; statical behaviour; steady-phase vector trajectory; strange attractor; system behavior; traditional spectral analysis; Analysis of variance; Blood pressure; Cardiology; Chaos; Harmonic analysis; Heart rate; Heart rate variability; Hospitals; Power system modeling; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1991, Proceedings.

Conference_Location

Venice

Print_ISBN

0-8186-2485-X

Type

conf

DOI

10.1109/CIC.1991.169009

Filename

169009