Background and objective For more than 20 years, Higuchi's fractal dimension (HFD), as a
nonlinear method, has occupied an important place in the analysis of biological signals. The …

Several measures have been proposed to detect nonlinear characteristics in time series.
Results on time series, multiple surrogates and their z-score are used to statistically test for …

The aim of the study is to clarify the impact of the strong cyclic signal component on the
results of surrogate data method in the case of resting electroencephalographic (EEG) …

Working memory serves as a basis for many cognitive functions, including attention,
decision-making, and learning. When engaged, it is often associated with an increase in the …

The aim of the research was to study the fractal dimension of the EEG signal by the Higuchi's
method in patients with diffuse axonal injury (DAI) of the brain. Materials and Methods. The …

In this paper, an integrated data characteristic testing scheme is proposed for complex time
series data exploration so as to select the most appropriate research methodology for …

We analyze the results of a large simulation of an evolving ecosystem to evaluate its
complexity. In particular, we are interested to know how close to a stochastic or a …

This paper applies the surrogate data method to investigate the presence of nonlinearity in
neonatal electroencephalogram (EEG) burst suppression (B/S) patterns in order to …

The uterine EMG-called Electrohysterogramme (EHG)-temporal, frequency, and time-
frequency characteristics have been used for a long time for the prediction of preterm labor …

Background Attention-deficit/hyperactivity disorder (ADHD) is the most common
neurobehavioral disorder. Treatments for ADHD include pharmacological and …