Epilepsy is the second most popular neurological disorder affecting 65 million people
around the world. Seizures are classified into two kinds; focal and generalized ictal activities …

Introduction Epilepsy is a chronic neurological disorder characterized by abnormal electrical
activity in the brain, often leading to recurrent seizures. With 50 million people worldwide …

Epileptic seizure is one of the common neurological disorder now a day. But this is curable if
it can be detected in the early stage. So, this research become a necessity in the early …

Objective Automatic detection of epileptic seizures based on deep learning methods
received much attention last year. However, the potential of deep neural networks in seizure …

Epilepsy is the second most common brain disorder after migraine. Automatic detection of
epileptic seizures can considerably improve the patients' quality of life. Current …

Epilepsy, as a serious neurological disorder, can be detected by analyzing the brain signals
produced by neurons. Electroencephalogram (EEG) signals are the most important data …

Introduction In recent years, the use of EEG signals for seizure detection has gained
widespread academic attention. Aiming at the problem of overfitting deep learning models …

Detection of seizure periods in an epileptic patient is an important part of health care.
However, due to the variety in types of seizures and location of them, real-time seizure …

Epileptic seizures are a prevalent neurological condition that impacts a considerable portion
of the global population. Timely and precise identification can result in as many as 70% of …

Early detection and proper treatment of epilepsy is essential and meaningful to those who
suffer from this disease. The adoption of deep learning (DL) techniques for automated …