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 …

Intrinsic brain activity is organized in spatial–temporal patterns, called resting‐state networks
(RSNs), exhibiting specific structural–functional architecture. These networks presumably …

Physicians and scientists can use fractal analysis as a tool to objectively quantify complex
patterns found in neuroscience and neurology. Fractal analysis has the potential to allow …

Current trend in neurosciences is to use naturalistic stimuli, such as cinema, class-room
biology or video gaming, aiming to understand the brain functions during ecologically valid …

Concurrent EEG and fMRI acquisitions in resting state showed a correlation between EEG
power in various bands and spontaneous BOLD fluctuations. However, there is a lack of …

Measures of predictability in physiological signals using entropy measures have been
widely applied in many areas of research. Multiscale entropy expresses different levels of …

Fractal concepts are used to explore how different substrates affect the morphology of
deposited barium fluoride (BaF 2) thin films. BaF 2 thin films of thickness 20 nm are prepared …

Construction noise is one of the leading causes of attention impairment both for workers
within construction sites and individuals in their direct vicinity. Distraction caused by …

We propose a new numerical method for calculating 2D fractal dimension (DF) of a surface.
This method represents a generalization of Higuchi's method for calculating fractal …

In this paper, we introduce a new approach, which measures the fractal dimension (FD) of a
trajectory in the multi-dimensional phase space based on the self-similarity of the sub …