A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal

S Seifpour, H Niknazar, M Mikaeili… - Expert Systems with …, 2018 - Elsevier
Over the past decade, converging evidence from diverse studies has demonstrated that
sleep is closely associated with the mental and physical health, quality of life, and safety …

[HTML][HTML] Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal

SK Satapathy, AK Bhoi, D Loganathan… - … Signal Processing and …, 2021 - Elsevier
Sleep staging is an important part of diagnosing the different types of sleep-related disorders
because any discrepancies in the sleep scoring process may cause serious health problems …

A decision support system for automated identification of sleep stages from single-channel EEG signals

AR Hassan, A Subasi - Knowledge-Based Systems, 2017 - Elsevier
A decision support system for automated detection of sleep stages can alleviate the burden
of medical professionals of manually annotating a large bulk of data, expedite sleep disorder …

Sleep staging algorithm based on multichannel data adding and multifeature screening

W Huang, B Guo, Y Shen, X Tang, T Zhang, D Li… - Computer methods and …, 2020 - Elsevier
Background: Sleep staging is an important basis of sleep research, which is closely related
to both normal sleep physiology and sleep disorders. Many studies have reported various …

Sleep staging from the EEG signal using multi-domain feature extraction

Z Liu, J Sun, Y Zhang, P Rolfe - Biomedical Signal Processing and Control, 2016 - Elsevier
The analysis of the electroencephalogram (EEG) can yield much useful information about
brain function, including indications of sleep stage. During the process of EEG analysis …

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 …

Development of automated sleep stage classification system using multivariate projection-based fixed boundary empirical wavelet transform and entropy features …

RK Tripathy, SK Ghosh, P Gajbhiye, UR Acharya - Entropy, 2020 - mdpi.com
The categorization of sleep stages helps to diagnose different sleep-related ailments. In this
paper, an entropy-based information–theoretic approach is introduced for the automated …

An ensemble system for automatic sleep stage classification using single channel EEG signal

B Koley, D Dey - Computers in biology and medicine, 2012 - Elsevier
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 …

Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal

SK Satapathy, D Loganathan - Soft Computing, 2021 - Springer
Sleep is important part for human health and quality of life in the daily routine basis.
However, numerous individuals face sleep problems due to rapid changes occurred in both …

EEG‐based automatic sleep staging using ontology and weighting feature analysis

B Zhang, T Lei, H Liu, H Cai - Computational and mathematical …, 2018 - Wiley Online Library
Sleep staging is considered as an effective indicator for auxiliary diagnosis of sleep
diseases and related psychiatric diseases, so it attracts a lot of attention from sleep …