Automated sleep scoring system using multi-channel data and machine learning

RS Arslan, H Ulutaş, AS Köksal, M Bakır… - Computers in Biology and …, 2022 - Elsevier
Sleep staging is one of the most important parts of sleep assessment and it has an important
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …

Automatic classification of sleep stages using EEG signals and convolutional neural networks

IS Masad, A Alqudah, S Qazan - Plos one, 2024 - journals.plos.org
Sleep stages classification is one of the new topics in studying human life quality because it
plays a crucial role in getting a healthy lifestyle. Abnormal changes or absence of normal …

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 …

Sensitive deep learning application on sleep stage scoring by using all PSG data

RS Arslan, H Ulutas, AS Köksal, M Bakir… - Neural Computing and …, 2023 - Springer
Polysomnography (PSG)-based sleep stage scoring is time-consuming and it suffers from
variability in results. With the help of automated PSG scoring, which is based on deep …

Automatic sleep staging: A computer assisted approach for optimal combination of features and polysomnographic channels

S Khalighi, T Sousa, G Pires, U Nunes - Expert Systems with Applications, 2013 - Elsevier
To improve applicability of automatic sleep staging an efficient subject-independent method
is proposed with application in sleep–wake detection and in multiclass sleep staging …

A systematic review of literature on automated sleep scoring

H Alsolai, S Qureshi, SMZ Iqbal, S Vanichayobon… - IEEE …, 2022 - ieeexplore.ieee.org
Sleep is a period of rest that is essential for functional learning ability, mental health, and
even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all …

A review of automated sleep stage based on EEG signals

X Zhang, X Zhang, Q Huang, Y Lv, F Chen - Biocybernetics and Biomedical …, 2024 - Elsevier
Sleep disorders have increasingly impacted healthy lifestyles. Accurate scoring of sleep
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …

A novel sleep stage scoring system: combining expert-based rules with a decision tree classifier

KM Gunnarsdottir, CE Gamaldo… - 2018 40th annual …, 2018 - ieeexplore.ieee.org
Overnight polysomnography (PSG) is the gold standard tool used to characterize sleep and
for diagnosing sleep disorders. PSG is a non-invasive procedure that collects various …

[HTML][HTML] Multi-modality of polysomnography signals' fusion for automatic sleep scoring

R Yan, C Zhang, K Spruyt, L Wei, Z Wang, L Tian… - … Signal Processing and …, 2019 - Elsevier
Objective The study aims to develop an automatic sleep scoring method by fusing different
polysomnography (PSG) signals and further to investigate PSG signals' contribution to the …

AS3-SAE: Automatic Sleep Stages Scoring using Stacked Autoencoders

M Vaezi, M Nasri - Frontiers in Biomedical …, 2023 - publish.kne-publishing.com
Purpose: Sleep is a subconscious state, and the brain is active during it. Automatic
classification of sleep stages can help identify various diseases. In recent years, automatic …