Epilepsy is a well-known nervous system disorder characterized by seizures.
Electroencephalograms (EEGs), which capture brain neural activity, can detect epilepsy …

Epilepsy is a neurological condition that affects the central nervous system. While its effects
are different for each person, they mostly include abnormal behaviour, periods of loss of …

The aim of this study is to establish a hybrid model for epileptic seizure detection with
genetic algorithm (GA) and particle swarm optimization (PSO) to determine the optimum …

Background: Epilepsy causes when the repeated seizure occurs in the brain.
Electroencephalogram (EEG) test provides valuable information about the brain functions …

Methods: Principal Component Analysis (PCA) is a dimensionality reduction technique used
in different fields of pattern recognition including EEG signal classification. Global modular …

This paper presents a computer aided analysis system for detecting epileptic seizure from
electroencephalogram (EEG) signal data. As EEG recordings contain a vast amount of data …

EEG is the most effective diagnostic technique to determine epilepsy in a patient. The
objective of this research work is to apply classification techniques on EEG signals to …

Electroencephalogram (EEG) is one of the most powerful tools that offer valuable
information related to different abnormalities in the human brain. One of these abnormalities …

Abstract Analysis of electroencephalogram (EEG) signal is crucial due to its non-stationary
characteristics, which could lead the way to proper detection method for the treatment of …

The uncontrolled firing of neurons in brain leads to epileptic seizures in the patients. A novel
scheme to detect epileptic seizures from back ground electroencephalogram (EEG) is …