Since the manual detection of electrographic seizures in continuous electroencephalogram
(EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop …

Epilepsy is a life-threatening neurological brain disorder that gives rise to recurrent
unprovoked seizures. It occurs due to abnormal chemical changes in our brains. For many …

Objective: This paper investigates the multivariate oscillatory nature of
electroencephalogram (EEG) signals in adaptive frequency scales for epileptic seizure …

Identification of EEG signals is currently an open problem where performance analysis in
terms of accuracy is relevant in several fields, such as biomedicine and brain computer …

Background and objective Computerized epileptic seizure detection is essential for
expediting epilepsy diagnosis and research and for assisting medical professionals …

Epilepsy is a serious chronic neurological disorder, can be detected by analyzing the brain
signals produced by brain neurons. Neurons are connected to each other in a complex way …

This paper proposes a novel patient-specific real-time automatic epileptic seizure onset
detection, using both scalp and intracranial electroencephalogram (EEG). The proposed …

The detection of epileptic seizures by classifying electroencephalography (EEG) signals into
ictal and interictal classes is a demanding challenge, because it identifies the seizure and …

Epilepsy is a disease that decreases the quality of life of patients; it is also among the most
common neurological diseases. Several studies have approached the classification and …

Epilepsy is an electrophysiological disorder of the brain, characterized by recurrent seizures.
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …