Early seizure prediction is crucial for epilepsy patients to reduce accidental injuries and
improve their quality of life. Identifying pre-ictal EEG from the inter-ictal state is particularly …

Epilepsy is classified as one of the three most prevalent neurological disorders, alongside
strokes and migraines. It is characterized by the occurrence of epileptic seizures that can be …

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 …

Epilepsy is a neurological disorder that affects the brain, as well as the human body's nerves
and spinal cord, adversely causing unusual and uncontrollable behavior. This letter …

Seizure prediction using EEG has significant implications for the daily monitoring and
treatment of epilepsy patients. However, the task is challenging due to the underlying …

Epilepsy is one of the most debilitating neurological diseases that abruptly alters a person's
way of life. Manual diagnosis is a laborious and time-consuming task prone to human error …

Seizure prediction based on scalp EEG can improve the quality of life for patients with
epilepsy. It is challenging to implement seizure prediction methods, limited to the …

Electroencephalography (EEG) is a widely used tool for diagnosing brain disorders due to
its high temporal resolution, non-invasive nature, and affordability. Manual analysis of EEG …

Electroencephalography (EEG) plays a key role in the clinical evaluation of epilepsy and
provides strong support for treatment decisions. However, analyzing and decoding EEG …

Epilepsy poses a significant risk to human health. Numerous machine learning (ML) have
emerged to address this health challenge. Deep learning (DL), particularly recurrent neural …