Epileptic seizure is one of the most chronic neurological diseases that instantaneously
disrupts the lifestyle of affected individuals. Toward develo** novel and efficient …

A variety of screening approaches have been proposed to diagnose epileptic seizures,
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …

Epilepsy is a neurological condition affecting around 50 million individuals worldwide,
reported by the World Health Organization. This is identified as a hypersensitive disease by …

Purpose This work focuses on automated epileptic seizure diagnosis (ESD) and prediction
(ESP) to clarify the expanding role of machine learning (ML) in epileptic analysis. It outlines …

High‐frequency oscillations (HFO) in scalp EEG are a new and promising noninvasive
epilepsy biomarker, providing added prognostic value, particularly in pediatric lesional …

We develop a hybrid model-based data-driven seizure detection algorithm called Mutual
Information-based CNN-Aided Learned factor graphs (MICAL) for detection of eclectic …

The etiology of epilepsy is variable and sometimes multifactorial. Clinical course and
response to treatment largely depend on the precise etiology of the seizures. Along with the …

Magnetic Resonance Imaging (MRI) and Electroencephalography (EEG) modalities have
been used in several screening procedures to diagnose epileptic seizures with a high-level …

The Internet of Things (IoT) is capable of controlling the healthcare monitoring system for
remote-based patients. Epilepsy, a chronic brain syndrome characterized by recurrent …

Objective Focal cortical dysplasia (FCD) is the most common pathological cause for
pediatric epilepsy, with frontal lobe epilepsy (FLE) being the most prevalent in the pediatric …