Early detection and proper treatment of epilepsy seizure is essential and meaningful to
those who suffer from this disease. Symptoms of seizures are confusion, abnormal gazing …

A precise identification of the epileptogenic focus in the brain plays a significant role in
treating patients suffering from pharmacoresistant focal epilepsy. Various machine learning …

Nowadays, the quick development of the Internet of Things (IoT) has changed our lifestyle.
However, disease diagnosis is a difficult task owing to managing an enormous volume of …

Background In the cerebral cortex, disinhibited activity is characterized by propagating
waves that spread across neural tissue. In this pathological state, a widely reported form of …

Abstract Convolutional Neural Networks (CNNs) have become increasingly popular in
seizure detection and prediction research. While traditional CNNs are effective in image …

Around 50 million individuals worldwide suffer from epilepsy, a chronic, non-communicable
brain disorder. Several screening methods, including electroencephalography, have been …

Electroencephalogram (EEG) are the neuro-electrophysiology signals, which are commonly
used as a diagnostic tool to measure the seizure activity of the brain. The accurate detection …

Epilepsy, a widespread neurological condition impacting approximately 50 million people
worldwide, is often identified and studied through electroencephalography (EEG) due to its …

The word epilepsy is related to a neurological disease occurred by abnormalities of brain
neurons. Timely detection of epilepsy is helpful for patients to decrease the mortality rate. To …

In many domains including medicine, biology, and neuroscience, rare events are the norm
rather than the exception, limiting the ability to train intelligent systems to perform reliable …