Recent advancements in machine learning and deep models find them helpful designing effective complex measurement systems. At the same time, examining brain’s activities using Electroencephalography (EEG) is essential to determine mental state or thought of a person. It several application areas, such as Brain-Computer Interface (BCI), emotion recognition, disease diagnosis. The proper brain si...

Background: Epilepsy is a severe disorder of the central nervous system that predisposes the person to recurrent seizures. Fifty million people worldwide suffer from epilepsy; after Alzheimer’s and stroke, it is the third widespread nervous disorder.Objective: In this paper, an algorithm to detect the onset of epileptic seizures based on the analysis of brain electrical signals (EEG) has b...

brain-computer interface systems are a new mode of communication which provides a new path between brain and its surrounding by processing eeg signals measured in different mental states.  therefore, choosing suitable features is demanded for a good bci communication. in this regard, one of the points to be considered is feature vector dimensionality. we present a method of feature reduction us...