Title :
Low-dimensional chaotic behaviour in heart rate variability
Author :
Ramchurn, S.K. ; Baijnath, D. ; Murray, A.
Author_Institution :
Univ. of Mauritius, Reduit, Mauritius
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;
Conference_Titel :
Computers in Cardiology 2000
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6557-7
DOI :
10.1109/CIC.2000.898560
