Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation

KAI Aboalayon, M Faezipour, WS Almuhammadi… - Entropy, 2016 - mdpi.com
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 …

A comparative review on sleep stage classification methods in patients and healthy individuals

R Boostani, F Karimzadeh, M Nami - Computer methods and programs in …, 2017 - Elsevier
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 …

A novel multi-class EEG-based sleep stage classification system

P Memar, F Faradji - IEEE Transactions on Neural Systems and …, 2017 - ieeexplore.ieee.org
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 …

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 …

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 …

Unobtrusive sleep state measurements in preterm infants–A review

J Werth, L Atallah, P Andriessen, X Long… - Sleep medicine …, 2017 - Elsevier
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 …

Automatic neonatal sleep stage classification: a comparative study

SF Abbasi, A Abbas, I Ahmad, MS Alshehri, S Almakdi… - Heliyon, 2023 - cell.com
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 …

Quiet sleep detection in preterm infants using deep convolutional neural networks

AH Ansari, O De Wel, M Lavanga… - Journal of neural …, 2018 - iopscience.iop.org
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 …

A deep shared multi-scale inception network enables accurate neonatal quiet sleep detection with limited EEG channels

AH Ansari, K Pillay, A Dereymaeker… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
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 …

Analysis of EEG signal to classify sleep stages using machine learning

S Santaji, V Desai - Sleep and Vigilance, 2020 - Springer
Automated classification of sleep stages is in demand to overcome the limitations of manual
sleep stage classification. Analyzing sleep stages manually using neurophysiological …