An EEG signal is used for capturing the signals from the brain, which helps in localization of
epileptogenic region, thereby which plays a vital role for a successful surgery. The focal and …

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

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 …

Epilepsy is a neurological disorder which affects individuals all around the world. The
presence of epilepsy is recognised by seizures attacks. EEG signals can provide useful …

EEG (Electroencephalogram) is a technique for identifying neurological disorders. There are
various neurological disorders like Epilepsy, brain cancer, etc. Feature extraction and …

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

The extraction and classification of Electroencephalogram (EEG) signals are crucial for
accuracy in detecting an epileptic seizure. Accurate feature extraction and classification are …

Among the central nervous system (neurological) disorders, epilepsy is considered to be a
dangerous and chronic disorder that causes recurring seizures, showing unusual behaviour …

The aim of this research is to develop a hybrid Model (SVM-LOA) for epileptic seizure
detection with support vector machine (SVM) and lion optimization algorithm (LOA) to locate …

Epilepsy is a critical neurological disorder with critical influences on the way of living of its
victims and prominent features such as persistent convulsion periods followed by …