Depression and Anxiety · 2002 · 37 citations · 83 references
MedicinePhysiologyPsychiatryChild PsychiatryPsychophysiologyTime Series AnalysisAnxiety DisordersCardiac ArrhythmiasChaos TheoryHeart Rate VariabilityLyapunov ExponentsPanic DisorderCardiac Vagal ToneHeart RateHeart Rate DynamicsHeart Rate Variability IndicesHeart Rate Variability Spectral AnalysisLargest Lyapunov ExponentNonlinear AnalysisPower Spectral Analysis
This study examined the differences of heart rate variability measures between children of parents with panic disorder and children of healthy controls using linear as well as nonlinear techniques. Supine and standing heart rate variability indices were measured in all children using power spectral analysis and a measure of chaos, the largest Lyapunov exponent (LLE) of heart rate time series. No significant differences emerged between the children of panic disorder parents and children of normal controls on any of the spectral heart rate variability measures. However, children of patients with panic disorder had significantly lower LLE of heart rate time series in supine posture, suggesting a relative decrease of cardiac vagal function in this group of children. This suggests a possible heritable effect of certain measures of heart rate variability, as previous studies showed decreased heart rate variability in patients with panic disorder using spectral as well as nonlinear techniques. Recent evidence also suggests that some of these nonlinear measures are superior or of additional value to the traditional time and frequency domain measures of heart rate variability to predict serious ventricular arrhythmias and sudden death.
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Task Force of the European Society of Cardiology the North A Electrophysiology · Circulation · 1996 · 16.9K citations
Determining Lyapunov exponents from a time series
Alan Wolf, J. B. Swift, Harry L. Swinney et al. · Physica D Nonlinear Phenomena · 1985 · 9.4K citations · Full text
Measuring the strangeness of strange attractors
Peter Grassberger, Itamar Procaccia · Physica D Nonlinear Phenomena · 1983 · 5.6K citations