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 …
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 …
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
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 …
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 …
algorithm using single-channel electroencephalograms (EEGs). The process consists four …
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 …
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 …
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 …
related diseases. Manual inspection of sleep scoring is a very time-consuming process …
Analysis of EEG signal to classify sleep stages using machine learning
Automated classification of sleep stages is in demand to overcome the limitations of manual
sleep stage classification. Analyzing sleep stages manually using neurophysiological …
sleep stage classification. Analyzing sleep stages manually using neurophysiological …
A rule-based automatic sleep staging method
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 …
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
Background: The process of automatic sleep stage scoring consists of two major parts:
feature extraction and classification. Features are normally extracted from the polysomno …
feature extraction and classification. Features are normally extracted from the polysomno …