This review addresses a central question in the field of complex systems: given a fluctuating
(in time or space), sequentially measured set of experimental data, how should one analyze …

The human organism comprises various physiological and organ systems, each with its own
structural organization and functional complexity, leading to complex, transient, fluctuating …

We systematically study how diverse physiologic systems in the human organism
dynamically interact and collectively behave to produce distinct physiologic states and …

We develop a method for the multifractal characterization of nonstationary time series, which
is based on a generalization of the detrended fluctuation analysis (DFA). We relate our …

According to classical concepts of physiologic control, healthy systems are self-regulated to
reduce variability and maintain physiologic constancy. Contrary to the predictions of …

Entropy measures are widely applied to quantify the complexity of dynamical systems in
diverse fields. However, the practical application of entropy methods is challenging, due to …

We examine the detrended fluctuation analysis (DFA), which is a well-established method
for the detection of long-range correlations in time series. We show that deviations from …

The etiology of primary open-angle glaucoma (POAG) remains the subject of continuing
investigation. Despite the many known risk factors and mechanism of damage, the principal …

Detrended fluctuation analysis (DFA) is a scaling analysis method used to estimate long-
range power-law correlation exponents in noisy signals. Many noisy signals in real systems …

Detrended fluctuation analysis (DFA) is a scaling analysis method used to quantify long-
range power-law correlations in signals. Many physical and biological signals are “noisy,” …