[PDF][PDF] Review of automatic sleep staging

F Xu, S Wang, X Qian, H Hu, Q He, H Lin, J Shuai - Biophysics, 2019 - pdf.hanspub.org
Sleep is an essential physiological activity of the human body. Traditionally, doctors divide
an entire night's EEG data into 30-second frames to assess and analyze sleep patterns …

A deep learning algorithm based on 1D CNN-LSTM for automatic sleep staging

D Zhao, R Jiang, M Feng, J Yang… - … and Health Care, 2022 - content.iospress.com
BACKGROUND: Sleep staging is an important part of sleep research. Traditional automatic
sleep staging based on machine learning requires extensive feature extraction and …

A novel sleep staging algorithm based on hybrid neural network

J Hao, S Luo, L Pan - 2019 IEEE 9th International Conference …, 2019 - ieeexplore.ieee.org
Sleep quality has gradually become an important issue concerned by people in today's
society, and the judgment of sleep quality requires professional doctors to stage the …

A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal

SK Satapathy, K Shah, S Shah, B Shah… - Soft Computing for …, 2023 - Springer
Sleep plays a vital role in human physiological behaviors. Sleep staging is a critical criterion
for assessing sleep patterns. Therefore, it is essential to develop an automatic sleep staging …

A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques

SK Sahu, SK Satapathy, SK Mohapatra - International Conference on …, 2023 - Springer
Abstract Background and Objective: Sleep staging plays a vital role in sleep research
because sometimes sleep recording errors may cause severe problems like …

EEG based automatic sleep staging via simple 2D-convolutional neural network

İ Kaya - Gazi Mühendislik Bilimleri Dergisi, 2022 - dergipark.org.tr
Sleep disorders have high prevalence and cause various health problems. For the
diagnostics of these disorders and assessment of the sleep quality, many physiological data …

A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques

SK Satapathy, HK Kondaveeti, D Swain - International Conference on …, 2022 - Springer
Sleep staging plays a vital role in sleep research because sometimes sleep recording errors
may cause severe problems like misinterpretations of the changes in characteristics of the …

[PDF][PDF] Application of Deep Neural Network to Study the Sleep Stage Scoring on the Polysomnography

S Wang, F Xu, X Qian, H Hu, Q He, H Lin, J Shuai - Biophysics, 2019 - pdf.hanspub.org
In the field of medical informatics, the automatic sleep staging is a challenging and time-
consuming task, and most existing automatic sleep staging methods are based on single …

Deep learning method for sleep stage classification

L Cen, ZL Yu, Y Tang, W Shi, T Kluge, W Ser - … Information Processing: 24th …, 2017 - Springer
When humans fall asleep, they go through five sleep stages, ie wakefulness, stages of non-
rapid eye movement consisting of N1, N2 and N3, and rapid eye movement (REM) …

Intelligent automatic sleep staging model based on CNN and LSTM

L Zhuang, M Dai, Y Zhou, L Sun - Frontiers in Public Health, 2022 - frontiersin.org
Since electroencephalogram (EEG) is a significant basis to treat and diagnose somnipathy,
sleep electroencephalogram automatic staging methods play important role in the treatment …