Epilepsy is a life-threatening neurological condition. Manual detection of epileptic seizures
(ES) is laborious and burdensome. Machine learning techniques applied to …

Epilepsy is a neurological disorder that affects approximately fifty million people according to
the World Health Organization. While electroencephalography (EEG) plays important roles …

Epilepsy is a neurological condition characterised by abnormal behaviour and recurring
seizures as a result of abnormal brain activity. Epilepsy diagnosis necessitates the …

The objective of this research work is to design an improved patient-independent seizure
detection system. In general, most of the patient-dependent EEG-based seizure detection …

Background: Epilepsy, a prevalent neurological disorder characterized by recurrent seizures
affecting an estimated 70 million people worldwide, poses a significant diagnostic …

Epilepsy makes the patients suffer great pain and has a very bad impact on daily life. In this
paper, a novel method is proposed to implement electroencephalogram (EEG)-based …

Introduction Long-term electroencephalography (EEG) monitoring is advised to patients with
refractory epilepsy who have a failure of anti-seizure medication and therapy. However, its …

Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures.
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …

Epileptic seizure detection with multi-channel electroencephalography (EEG) signals is a
commonly used method, but it is tedious and error-prone to manually detect seizures …

Computer-aided seizure detection from the long-term EEG has shown great potential in
improving the epilepsy diagnosis accuracy and efficiency. This study was aimed to utilize …