The complexity and heterogeneity of schizophrenia symptoms challenge an objective
diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the …

In this chapter, empirical wavelet transformation is used to decompose the highly
nonstationary electroencephalogram signals into modes in a Fourier spectrum. Linear and …

Complexity measures have been enormously used in schizophrenia patients to estimate
brain dynamics. However, the conflicting results in terms of both increased and reduced …

Cryptographic frameworks depend on key sharing for ensuring security of data. While the
keys in cryptographic frameworks must be correctly reproducible and not unequivocally …

The aim of the present study was to characterize the neural network reorganization during a
cognitive task in schizophrenia (SCH) by means of wavelet entropy (WE). Previous studies …

In this paper, differences between multichannel EEG signals of artists and nonartists were
analyzed during visual perception and mental imagery of some paintings and at resting …

Background: Previous research has shown that eye movements are different in patients with
attention deficit hyperactivity disorder (ADHD) and healthy people. As a result …

Electroencephalography (EEG) signals are known to be nonstationary and often
multicomponential signals containing information about the condition of the brain. Since the …

This paper concentrates on the entropy estimation of time series. Two new algorithms are
introduced: Fast Approximate Entropy and Fast Sample Entropy. Their main advantage is …

A biological system obtains information, reacts to stimuli, and modifies its behavior to adapt
to the environment via complex control systems. A healthy system is expected to adequately …