Automated sleep scoring: A review of the latest approaches
Clinical sleep scoring involves a tedious visual review of overnight polysomnograms by a
human expert, according to official standards. It could appear then a suitable task for modern …
human expert, according to official standards. It could appear then a suitable task for modern …
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 …
DeepSleepNet: A model for automatic sleep stage scoring based on raw single-channel EEG
This paper proposes a deep learning model, named DeepSleepNet, for automatic sleep
stage scoring based on raw single-channelEEG. Most of the existing methods rely on hand …
stage scoring based on raw single-channelEEG. Most of the existing methods rely on hand …
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 …
Learning machines and sleeping brains: automatic sleep stage classification using decision-tree multi-class support vector machines
T Lajnef, S Chaibi, P Ruby, PE Aguera… - Journal of neuroscience …, 2015 - Elsevier
Background Sleep staging is a critical step in a range of electrophysiological signal
processing pipelines used in clinical routine as well as in sleep research. Although the …
processing pipelines used in clinical routine as well as in sleep research. Although the …
Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement
D Jiang, Y Lu, MA Yu, W Yuanyuan - Expert Systems with Applications, 2019 - Elsevier
Sleep stage classification is a most important process in sleep scoring which is used to
evaluate sleep quality and diagnose sleep-related diseases. Compared to complex sleep …
evaluate sleep quality and diagnose sleep-related diseases. Compared to complex sleep …
An ensemble system for automatic sleep stage classification using single channel EEG signal
The present work aims at automatic identification of various sleep stages like, sleep stages
1, 2, slow wave sleep (sleep stages 3 and 4), REM sleep and wakefulness from single …
1, 2, slow wave sleep (sleep stages 3 and 4), REM sleep and wakefulness from single …
Automatic sleep stages classification based on iterative filtering of electroencephalogram signals
Computer-aided sleep monitoring system can effectively reduce the burden of experts in
analyzing the large volume of electroencephalogram (EEG) recordings corresponding to …
analyzing the large volume of electroencephalogram (EEG) recordings corresponding to …
Automatic classification of sleep stages based on the time-frequency image of EEG signals
V Bajaj, RB Pachori - Computer methods and programs in biomedicine, 2013 - Elsevier
In this paper, a new method for automatic sleep stage classification based on time-frequency
image (TFI) of electroencephalogram (EEG) signals is proposed. Automatic classification of …
image (TFI) of electroencephalogram (EEG) signals is proposed. Automatic classification of …
EEG sleep stages classification based on time domain features and structural graph similarity
The electroencephalogram (EEG) signals are commonly used in diagnosing and treating
sleep disorders. Many existing methods for sleep stages classification mainly depend on the …
sleep disorders. Many existing methods for sleep stages classification mainly depend on the …