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 …

Nonlinear dynamics and chaos theory have been used in neurophysiology with the aim to
understand the complex brain activity from electroencephalographic (EEG) signals …

Background: Alzheimer's disease (AD) is one of the most common neurodegenerative
disorder. As the incidence of AD is rapidly increasing worldwide, detecting it at an early …

Electroencephalogram (EEG) is one of the most important signals for diagnosis of Autism
Spectrum Disorder (ASD). There are different challenges such as feature selection and the …

Epilepsy is one of the most serious disorders that affect patients' daily lives. When seizures
occur, patients cannot control their behaviors, which can lead to serious injuries. With the …

Dyslexia is a neurodevelopmental disorder that involves difficulty in interpreting, reading,
and writing but does not necessarily affect intelligence. Several behavioral symptoms have …

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 …

Alzheimer's disease (AD) is a non-curable neuro-degenerative disorder that has no cure to
date. However, it can be delayed through daily activity assessment using a robust …

Driver distraction is a significant cause of accidents leading to injuries and fatalities on the
roadway. Driving is a complex task and demands continuous visual and cognitive attention …

Entropy, the complexity measures for time series, has found numerous successful
applications in brain signal analysis such as detection of epileptic seizure and monitoring …