Sleep disorder is a symptom of many neurological diseases that may significantly affect the
quality of daily life. Traditional methods are time-consuming and involve the manual scoring …

For automatic sleep stage classification, the existing methods mostly rely on hand-crafted
features selected from polysomnographic records. In this paper, the goal is to develop a …

Drug inefficiency in patients with refractory seizures renders epilepsy a life-threatening and
challenging brain disorder and stresses the need for accurate seizure detection and …

Sleep stage classification is of great significance to the diagnosis of sleep disorders.
However, existing sleep stage classification models based on deep learning are usually …

The study provides a description of electroencephalography (EEG) advancements and their
application in diagnosing and assessing various neurological diseases over the previous …

Accurate sleep staging is crucial for the diagnosis of diseases such as sleep disorders.
Existing sleep staging models with excellent performance are usually large and require a lot …

Sleep disorder diseases have one of the major health issues across the world. To handle
this issue the primary step taken by most of the sleep experts is the sleep staging …

Objective. Attention deficit hyperactivity disorder (ADHD) is considered one of the most
common psychiatric disorders in childhood. The incidence of this disease in the community …

With the speeding up of social activities, rapid changes in lifestyles, and an increase in the
pressure in professional fields, people are suffering from several types of sleep‐related …

Sleep stage classification is an essential process of diagnosing sleep disorders and related
diseases. Automatic sleep stage classification using machine learning has been widely …