Electroencephalography (EEG) is an important tool for studying the human brain activity and
epileptic processes in particular. EEG signals provide important information about …

Electroencephalogram (EEG) is widely used to monitor the brain activities. The manual
examination of these signals by experts is strenuous and time consuming. Hence, machine …

Epilepsy being one of the most prevalent neurological disorders, affecting approximately 50
million people worldwide, and with almost 30–40% of patients experiencing partial epilepsy …

Background and objective According to the World Health Organization (WHO) epilepsy
affects approximately 45–50 million people. Electroencephalogram (EEG) records the …

This paper applies genetic programming (GP) to perform automatic feature extraction from
original feature database with the aim of improving the discriminatory performance of a …

Background This study sought to predict postsurgical seizure freedom from pre-operative
diagnostic test results and clinical information using a rapid automated approach, based on …

Aiming at the problems of low accuracy, poor universality and functional singleness for
seizure detection, an effective approach using wavelet-based non-linear analysis and …

Traditionally, detection of epileptic seizures based on the visual inspection of neurologists is
tedious, laborious and subjective. To overcome such disadvantages, numerous seizure …

Objective: The electroencephalogram (EEG) tool has great potential for real-time monitoring
of abnormal brain activities, such as preictal and ictal seizures. Developing an EEG-based …

Amyloid is generally an aggregate of insoluble fibrin; its abnormal deposition is the
pathogenic mechanism of various diseases, such as Alzheimer's disease and type II …