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 …

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 …

Sleep disorders have a great impact in the patients' quality of life. The study of human sleep
during the different sleep stages is crucial in the diagnosis of sleep disorders and is mainly …

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 is important part for human health and quality of life in the daily routine basis.
However, numerous individuals face sleep problems due to rapid changes occurred in both …

Objective Monitoring of the ultra-low frequency potentials, particularly cortical spreading
depression (CSD), is excluded in epilepsy monitoring due to technical barriers imposed by …

Sleep staging is one of the important methods for the diagnosis of the different types of sleep-
related diseases. Manual inspection of sleep scoring is a very time-consuming process …

The main contribution of this paper is to present a novel approach for classifying the sleep
stages based on optimal feature selection with ensemble learning stacking model using …

Sleep is essential for people health and well-being. However, numerous individuals face
sleep problems. These problems can lead to several neurological and physical disorder …

Dyslexia is a learning disorder and involves disability in reading. It is a deficit with a brain
origin despite the presence of good intelligence. Dyslexic patients may have lower rates of …