The analysis of sleep stages for children plays an important role in early diagnosis and
treatment. This paper introduces our sleep stage classification method addressing the …

Studies from the literature show that the prevalence of sleep disorder in children is far higher
than that in adults. Although much research effort has been made on sleep stage …

Sleep stages pattern provides important clues in diagnosing the presence of sleep disorder.
By analyzing sleep stages pattern and extracting its features from EEG, EOG, and EMG …

Background Sleep is a complex and dynamic biological process characterized by different
sleep patterns. Comprehensive sleep monitoring and analysis using multivariate …

In diagnosing sleep disorders, sleep stage classification is a very essential yet time-
consuming process. Various existing state-of-the-art approaches rely on hand-crafted …

Deep learning has achieved unprecedented success in sleep stage classification tasks,
which starts to pave the way for potential real-world applications. However, due to its …

Although convolutional neural network (CNN) has become very popular, and has been
applied to the sleep stage classification problem, almost all existing studies on sleep stage …

For real-world automatic sleep-stage classification tasks, various existing deep learning-
based models are biased toward the majority with a high proportion. Because of the unique …

Background Various deep-learning systems have been proposed for automated sleep
staging. Still, the significance of age-specific underrepresentation in training data and the …

Classification of sleep stages plays an essential role in diagnosing sleep-related diseases
including Sleep Disorder Breathing (SDB) disease. In this study, we propose an end-to-end …