Comparative analysis of different characteristics of automatic sleep stages

D Zhao, Y Wang, Q Wang, X Wang - Computer methods and programs in …, 2019 - Elsevier
Background and objective With the acceleration of social rhythm and the increase of
pressure, there are various sleep problems among people. Sleep staging is an important …

[HTML][HTML] Evaluation of a single-channel EEG-based sleep staging algorithm

S Zhao, F Long, X Wei, X Ni, H Wang… - International Journal of …, 2022 - mdpi.com
Sleep staging is the basis of sleep assessment and plays a crucial role in the early
diagnosis and intervention of sleep disorders. Manual sleep staging by a specialist is time …

Automated sleep stage identification system based on time–frequency analysis of a single EEG channel and random forest classifier

L Fraiwan, K Lweesy, N Khasawneh, H Wenz… - Computer methods and …, 2012 - Elsevier
In this work, an efficient automated new approach for sleep stage identification based on the
new standard of the American academy of sleep medicine (AASM) is presented. The …

Ensemble learning algorithm based on multi-parameters for sleep staging

Q Wang, D Zhao, Y Wang, X Hou - Medical & biological engineering & …, 2019 - Springer
The aim of this study is to propose a high-accuracy and high-efficiency sleep staging
algorithm using single-channel electroencephalograms (EEGs). The process consists four …

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 …

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 study of human sleep stage classification based on dual channels of EEG signal using machine learning techniques

SK Satapathy, D Loganathan - SN Computer Science, 2021 - Springer
Sleep staging is one of the important methods for the diagnosis of the different types of sleep-
related diseases. Manual inspection of sleep scoring is a very time-consuming process …

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 …

A rule-based automatic sleep staging method

SF Liang, CE Kuo, YH Hu, YS Cheng - Journal of neuroscience methods, 2012 - Elsevier
In this paper, a rule-based automatic sleep staging method was proposed. Twelve features
including temporal and spectrum analyses of the EEG, EOG, and EMG signals were utilized …

Classification of sleep stages using multi-wavelet time frequency entropy and LDA

L Fraiwan, K Lweesy, N Khasawneh… - … of information in …, 2010 - thieme-connect.com
Background: The process of automatic sleep stage scoring consists of two major parts:
feature extraction and classification. Features are normally extracted from the polysomno …