Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

This paper will focus on electroencephalogram (EEG) signal analysis with an emphasis on
common feature extraction techniques mentioned in the research literature, as well as a …

Depression is a severe psychiatric illness that causes emotional and cognitive impairment
and has a considerable impact on patients' thoughts, behaviors, feelings and well-being …

Emotion is an indispensable part of human emotion, which affects human normal
physiological activities and daily life decisions. Human emotion recognition is a critical …

The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual
procedure requires considerable human and financial resources, and incorporates some …

The electroencephalogram (EEG) motor imagery (MI) signals are the widespread paradigms
in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and …

Automatic sleep stage classification is an effective technology compared to conventional
artificial visual inspection in the field of sleep staging. Numerous algorithms based on …

Filtering of unwanted signals has a great impact on the performance of EEG signal
processing applied to neurological disorders diagnosis. It is so difficult to remove …

Electroencephalography (EEG) is a mechanism to understand the brain's functioning by
analyzing brain electrical signals. More recently, it has been more commonly used in studies …

Background Mental fatigue is one of the most causes of road accidents. Identification of
biological tools and methods such as electroencephalogram (EEG) are invaluable to detect …