Low-dimensional chaotic behaviour in heart rate variability

Author

Ramchurn, S.K. ; Baijnath, D. ; Murray, A.

Author_Institution

Univ. of Mauritius, Reduit, Mauritius

fYear

2000

fDate

2000

Firstpage

473

Lastpage

476

Abstract

The RR variability in the heart rhythms of 2 normal subjects and 3 diabetic patients were investigated for low-dimensional chaotic behaviour. About 1500 RR intervals were used for each subject. The correlation integral of Grassberger and Procaccia (1983) was computed in each case for a range of embedding dimensions. In the case of the normal subjects, the time series were too short for a reliable calculation of the correlation dimension. The correlation integrals of the diabetic patients showed anomalous structures which were corrected using the method of Theiler (1986, 1992). The correlation dimensions of 2 diabetic patients were assessed as being between 5 and 6. Surrogate data analysis results were consistent with the existence of low-dimensional chaotic attractors contaminated with linearly correlated noise

Keywords

chaos; correlation methods; electrocardiography; nonlinear dynamical systems; signal reconstruction; time series; RR intervals; RR variability; anomalous structures; correlation dimension; correlation integral; correlation integrals; diabetic patients; embedding dimensions; heart rate variability; heart rhythms; linearly correlated noise; low-dimensional chaotic attractors; low-dimensional chaotic behaviour; normal subjects; surrogate data analysis; time series; Cardiology; Chaos; Data analysis; Diabetes; Electrocardiography; Embedded computing; Heart rate variability; Hospitals; Performance analysis; Rhythm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 2000

Conference_Location

Cambridge, MA

ISSN

0276-6547

Print_ISBN

0-7803-6557-7

Type

conf

DOI

10.1109/CIC.2000.898560

Filename

898560