In current clinical practice, electroencephalograms (EEG) are reviewed and analyzed by
well-trained neurologists to provide supports for therapeutic decisions. The way of manual …

Epilepsy is a highly prevalent disorder that can affect a person's quality of life. People with
epilepsy are commonly affected by reoccurring seizures that potentially cause injury or …

The electroencephalogram (EEG) has emerged over the past few decades as one of the key
tools used by clinicians to detect seizures and other neurological abnormalities of the …

Epileptic seizures constitute a serious neurological condition for patients and, if untreated,
considerably decrease their quality of life. Early and correct diagnosis by semiological …

Epilepsy is one kind of neurological disease characterized by recurring seizures. Recurrent
seizures can cause ongoing negative mental and cognitive damage to the patient …

Objective Automatic detection of epileptic seizures based on deep learning methods
received much attention last year. However, the potential of deep neural networks in seizure …

Epilepsy affects over 70 million people worldwide, making it one of the most common
serious neurological disorders in the world. The automated identification of seizures based …

A seizure is a neurological disorder caused by abnormal neuronal discharges in the brain,
which severely reduces the quality of life of patients and often endangers their lives …

Introduction In the clinical setting, it becomes increasingly important to detect epileptic
seizures automatically since it could significantly reduce the burden for the care of patients …

Identifying epileptic seizures through analysis of the electroencephalography (EEG) signal
becomes a standard method for the diagnosis of epilepsy. Manual seizure identification on …