Sleep is a physiological activity and human body restores itself from various diseases during
sleep. It is necessary to get sufficient amount of sleep to have sound physiological and …

Using a smart method for automatic diagnosis in medical applications, such as sleep stage
classification is considered as one of the important challenges of the last few years which …

The categorization of sleep stages helps to diagnose different sleep-related ailments. In this
paper, an entropy-based information–theoretic approach is introduced for the automated …

Background and objective: This paper presents a new framework for automatic classification
of sleep stages using a deep learning algorithm from single-channel EEG signals. Each …

The classification of sleep stages is an important process. However, this process is time-
consuming, subjective, and error-prone. Many automated classification methods use …

Several studies have been conducted for automatic classification of sleep stages to ease
time-consuming manual scoring process that can involve a high degree of experience and …

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 …

Sleep stage scoring is fundamental for the examination and analysis of sleep problems.
Sleep experts score sleep by analyzing brain activity, muscle activity, and eye activity …

In recent years, the estimation of human sleep disorders from Electroencephalogram (EEG)
signals have played an important role in developing automatic detection of sleep stages. A …

This paper proposes a classification framework for automatic sleep stage detection in both
male and female human subjects by analyzing the electroencephalogram (EEG) data of …