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Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …
A comparative review on sleep stage classification methods in patients and healthy individuals
Background and objective: Proper scoring of sleep stages can give clinical information on
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
A novel multi-class EEG-based sleep stage classification system
Sleep stage classification is one of the most critical steps in effective diagnosis and the
treatment of sleep-related disorders. Visual inspection undertaken by sleep experts is a time …
treatment of sleep-related disorders. Visual inspection undertaken by sleep experts is a time …
EEG-based sleep stage classification via neural architecture search
G Kong, C Li, H Peng, Z Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the improvement of quality of life, people are more and more concerned about the
quality of sleep. The electroencephalogram (EEG)-based sleep stage classification is a …
quality of sleep. The electroencephalogram (EEG)-based sleep stage classification is a …
A review of signals used in sleep analysis
A Roebuck, V Monasterio, E Gederi… - Physiological …, 2013 - iopscience.iop.org
This article presents a review of signals used for measuring physiology and activity during
sleep and techniques for extracting information from these signals. We examine both clinical …
sleep and techniques for extracting information from these signals. We examine both clinical …
Unobtrusive sleep state measurements in preterm infants–A review
Sleep is important for the development of preterm infants. During sleep, neural connections
are formed and the development of brain regions is triggered. In general, various …
are formed and the development of brain regions is triggered. In general, various …
Automatic neonatal sleep stage classification: a comparative study
Sleep is an essential feature of living beings. For neonates, it is vital for their mental and
physical development. Sleep stage cycling is an important parameter to assess neonatal …
physical development. Sleep stage cycling is an important parameter to assess neonatal …
Quiet sleep detection in preterm infants using deep convolutional neural networks
Objective. Neonates spend most of their time asleep. Sleep of preterm infants evolves
rapidly throughout maturation and plays an important role in brain development. Since …
rapidly throughout maturation and plays an important role in brain development. Since …
A deep shared multi-scale inception network enables accurate neonatal quiet sleep detection with limited EEG channels
In this paper, we introduce a new variation of the Convolutional Neural Network Inception
block, called Sinc, for sleep stage classification in premature newborn babies using …
block, called Sinc, for sleep stage classification in premature newborn babies using …
Analysis of EEG signal to classify sleep stages using machine learning
Automated classification of sleep stages is in demand to overcome the limitations of manual
sleep stage classification. Analyzing sleep stages manually using neurophysiological …
sleep stage classification. Analyzing sleep stages manually using neurophysiological …