Automatic sleep stage classification with optimized selection of eeg channels

H Stenwig, A Soler, J Furuki, Y Suzuki… - 2022 21st IEEE …, 2022 - ieeexplore.ieee.org
Visual inspection of Polysomnography (PSG) recordings by sleep experts, based on
established guidelines, has been the gold standard in sleep stage classification. This …

Classification of sleep stages for healthy subjects and patients with minor sleep disorders

C Timplalexis, K Diamantaras… - 2019 IEEE 19th …, 2019 - ieeexplore.ieee.org
Sleep stage classification is one of the most critical steps in the effective diagnosis and
treatment of sleep-related disorders. Classic approaches involve trained human sleep …

Review of Machine Learning Techniques in Sleep Staging using Physiological Signals

SK Sahu, SK Satapathy… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
The background and goal of this research are to address the importance of sleep in our
lifestyle and health. To analyze sleep problems, legitimate scoring of sleep stages is …

On the classification of sleep states by means of statistical and spectral features from single channel electroencephalogram

AR Hassan, SK Bashar… - … conference on advances …, 2015 - ieeexplore.ieee.org
Traditional sleep scoring based on visual inspection of Electroencephalogram (EEG) signals
is onerous for sleep scorers because of the gargantuan volume of data that have to be …

Automatic sleep stage scoring using time-frequency analysis and stacked sparse autoencoders

O Tsinalis, PM Matthews, Y Guo - Annals of biomedical engineering, 2016 - Springer
We developed a machine learning methodology for automatic sleep stage scoring. Our time-
frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific …

An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model

H Ghimatgar, K Kazemi, MS Helfroush… - Journal of neuroscience …, 2019 - Elsevier
Objective Sleep stage scoring is essential for diagnosing sleep disorders. Visual scoring of
sleep stages is very time-consuming and prone to human errors. In this work, we introduce …

AutoSleepNet: a multi-signal framework for automated sleep stage classification

SK Satapathy, H Madhani, S Garg… - 2022 IEEE World …, 2022 - ieeexplore.ieee.org
Sleep is one of the most vital yet often underrated components of human health. Sleep
studies are crucial for unearthing various abnormalities associated with sleep, widely …

Automatic classification of sleep stages from single-channel electroencephalogram

AR Hassan, SK Bashar… - 2015 annual IEEE India …, 2015 - ieeexplore.ieee.org
A portable and wearable yet low-power sleep monitoring system necessitates an automatic
sleep scoring algorithm with the use of minimum number of recording channels. Computer …

Automatic sleep staging using state machine-controlled decision trees

SA Imtiaz, E Rodriguez-Villegas - 2015 37th Annual …, 2015 - ieeexplore.ieee.org
Automatic sleep staging from a reduced number of channels is desirable to save time,
reduce costs and make sleep monitoring more accessible by providing home-based …

[HTML][HTML] Sleep classification using Consumer Sleep Technologies and AI: A review of the current landscape

S Djanian, A Bruun, TD Nielsen - Sleep Medicine, 2022 - Elsevier
Classifying sleep stages in real-time represents considerable potential, for instance in
enabling interactive noise masking in noisy environments when persons are in a state of …