Automated seizure detection system based on electroencephalograms (EEG) is an
interdisciplinary research problem between computer science and neuroscience. Epileptic …

Epileptic seizure Disease is a substantial health burden and cause of death worldwide. For
epileptic seizure localization and classification, It's critical to be able to detect recorded …

Seizure detection is a routine process in epilepsy units requiring manual intervention of well-
trained specialists. This process could be extensive, inefficient and time-consuming …

Epilepsy is a common neurological disease that uses electroencephalogram (EEG) data for
its detection purpose. Neurologists make the diagnosis by visual inspection of EEG reports …

In this paper, a software-based neural network is developed for the purpose of detecting
seizures from raw EEG signals. Detecting epileptic seizures manually is a long tedious …

Epilepsy is a neurological disorder and generally detected by electroencephalogram (EEG)
signals. The manual inspection of epileptic seizures is a time‐consuming and laborious …

Epileptic stroke is a predominant brain issue existing between all periods of individuals.
Automated detection of epilepsy may help the patient in preventing sudden strokes. In the …

Seizure event detection by manually analyzing electroencephalogram (EEG) data is a
routine process in epilepsy units done by trained professionals. Misdiagnosis of epileptic …

Epilepsy is a neurological disorder which causes abnormal brain activity such as seizures.
Electroencephalogram (EEG) signals are recordings of the electrical activity of brain, which …

Epilepsy is one of the most widespread neurological disorders of the brain. In this paper, an
efficient seizure detection system based on the combination of traditional feature extraction …