Abstract

We study the asymmetry of multifractal spectra of diurnal heartbeat time series from healthy young subjects, healthy elderly subjects and patients with congestive heart failure (CHF). Aging and CHF causes loss of multifractality. We report here some ways of analyzing the asymmetry of these spectra and we show how the joint analysis of the degree of multifractality and the parameters that characterizes the asymmetry can differentiate between the cardiac interbeat time series of young and elderly persons and it can also separate healthy subjects and CHF patients.

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