Automatic detection of epileptic seizures is still a challenging problem due to the intolerance
of EEG. Introducing ECG can help with EEG for detecting seizures. However, the existing …

Objective. To identify a new electrophysiological feature characterising the epileptic
seizures, which is commonly observed in different types of epilepsy. Methods. We recorded …

This paper introduces BrainFuseNet, a novel lightweight seizure detection network based on
the sensor fusion of electroencephalography (EEG) with photoplethysmography (PPG) and …

Epilepsy is a chronic neurological disorder that affects many people in the world. Automatic
epileptic detection based on multi-channel electroencephalogram (EEG) signals is of great …

For patients who are suffering from epilepsy, how quickly and accurately detect seizures is
an important issue. Electroencephalography (EEG) is one of the most widely-used measures …

Detecting brain disorders using deep learning methods has received much hype during the
last few years. Increased depth leads to more computational efficiency, accuracy, and …

Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by
visual inspection. This process is often time-consuming, especially for EEG recordings that …

Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by
visual inspection. This process is often time-consuming, especially for EEG recordings that …

Currently, electroencephalogram (EEG) provides critical data to support a diagnosis of
epilepsy through the identification of seizure events. The review process is undertaken by …

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 …