Background: Analysis and classification of extensive medical data (eg
electroencephalography (EEG) signals) is a significant challenge to develop effective brain …

A brain-computer interface (BCI) systems permit encephalic activity to solely control
computers or external devices. Accordingly, people suffering from neuromuscular diseases …

Brain Computer-Interfacing is a methodology that provides a way for communication with the
outside environment using the brain thoughts. The success of this methodology depends on …

Recent advances in artificial intelligence demand an automated framework for the
development of versatile brain–computer interface (BCI) systems. In this article, we …

Electroencephalography (EEG) is commonly used in a variety scientific fields. Unfortunately,
commercial devices are generally very expensive, costing thousands of dollars. In recent …

Now-a-days heart disease is one of the serious disease because most of the people affected
by this disease that leads to create death. Due to the serious risk of this heart disease, it has …

Brain-Computer Interface (BCI) provides a direct communicating pathway between the
human brain and the external environment. In the BCI systems, electroencephalography …

With the advent of greater computing power each year, computer-based disease/condition
diagnosis have been gaining significant importance recently. In this paper, an extensive …

In the last decade of the XX-th century, several academic centers have launched intensive
research programs on the brain-computer interface (BCI). The current state of research …

Emotions are very important in human decision handling, interaction and cognitive process.
In this paper describes that recognize the human emotions from DEAP EEG dataset with …