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OF CARDIOVASCULAR DATA |
| |LEVEL 0| |HOMEPAGE| |
A measure of the fractal dimension of the time series.
May be computed by means of the method descibed by Grassberger and Procaccia. Correlation Dimension of heart rate has been shown to decrease with age, to be higher in female than in male subjects (Otzuka et al, 1997a), to have a circadian rhythm (Van Leuween et al., 1996) altered in patients with coronary artery disease (Otzuka et al, 1997b), to be lower during general anaesthesia (Zwiener et al., 1996) and to decrease before lethal arrhythmias (Skinner et al., 1993)
References:
Grassberger P, Procaccia I (1983) Measuring the strangeness
of a strange attractor. Physica D, 9, 189-208.
Ganz
RE, Lenz C.(1996) A program for the user-independent computation of
the correlation dimension and the largest Lyapunov exponent of heart rate
dynamics from small data sets. Comput Methods Programs Biomed.
Otsuka
K et al. (1997a) Age, gender and fractal scaling in heart rate variability.Clin
Sci
Otsuka
K et al. (1997b) Circadian rhythmic fractal scaling of heart rate variability
in health and coronary artery disease. Clin Cardiol.
Van
Leeuwen P(1995) Circadian aspects of apparent correlation dimension
in human heart rate dynamics. Am J Physiol.
Storella
RJ et al (1998)Approximate entropy and point correlation dimension of
heart rate variability in healthy subjects. Integr Physiol Behav Sci.
Thayer
JF, Moulden SA.(1997) Estimation of the correlation dimension of heart
rate using surrogate data techniques.Biomed Sci Instrum.
Zwiener
U et al.(1996) Relations between parameters of spectral power densities
and deterministic chaos of heart-rate variability J Auton Nerv
Syst.
Skinner
JE et al (1993) A reduction in the correlation dimension of heartbeat
intervals precedes imminent ventricular fibrillation in human subjects.
Am Heart J.