Driving fatigue seriously threatens traffic safety. In our work, the multifractal detrended
fluctuation analysis (MF-DFA) method is proposed to detect driver fatigue caused by driving …

Emotions are an essential part of daily human communication. The emotional states and
dynamics of the brain can be linked by electroencephalography (EEG) signals that can be …

Sleep scoring is one of the most important diagnostic methods in psychiatry and neurology.
Sleep staging is a time consuming and difficult task undertaken by sleep experts. This study …

The conversion of brain activity into text using electroencephalography (EEG) has gained
significant traction in recent years. Many researchers are working to develop new models to …

In this paper, two modern adaptive signal processing techniques, empirical intrinsic
geometry and synchrosqueezing transform, are applied to quantify different dynamical …

In this paper, genetic algorithm-based frequency-domain feature search (GAFDS) method is
proposed for the electroencephalogram (EEG) analysis of epilepsy. In this method …

Epilepsy involves brain abnormalities that may cause sudden seizures or other
uncontrollable body activities. Epilepsy may have substantial impacts on the patient's quality …

One of the major challenges in brain research is to relate the structural features of the
auditory stimulus to structural features of Electroencephalogram (EEG) signal. Memory …

The neurocognitive sequelae of a sport-related concussion and its management are poorly
defined. Detecting deficits are vital in making a decision about the treatment plan as it can …

The feature analysis of epileptic EEG is very significant in diagnosis of epilepsy. This paper
introduces two nonlinear features derived from fractal geometry for epileptic EEG analysis …