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 …

Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals

W Li, J Gao - PeerJ Computer Science, 2023 - peerj.com
Sleep staging is crucial for assessing sleep quality and diagnosing sleep disorders. Recent
advances in deep learning methods with electroencephalogram (EEG) signals have shown …

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 …

A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model

B Yang, X Zhu, Y Liu, H Liu - Biomedical Signal Processing and Control, 2021 - Elsevier
Sleep stage classification is an essential process for analyzing sleep and diagnosing sleep
related disorders. Sleep staging by visual inspection of expert is a labor-intensive task and …

Automatic sleep staging based on deep neural network using single channel EEG

Y Huang, Y Zhang, C Yan - … Conference, KMO 2019, Zamora, Spain, July …, 2019 - Springer
Sleep staging is the first step for sleep research and sleep disorder diagnosis. The present
study proposes an automatic sleep staging model, named ResSleepNet, using raw single …

A residual based attention model for EEG based sleep staging

W Qu, Z Wang, H Hong, Z Chi, DD Feng… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Sleep staging is to score the sleep state of a subject into different sleep stages such as
Wake and Rapid Eye Movement (REM). It plays an indispensable role in the diagnosis 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 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 …

Comparison of CNN-Uni-LSTM and CNN-Bi-LSTM based on single-channel EEG for sleep staging

Q Li, B Wang, J Jin, X Wang - 2020 5th International …, 2020 - ieeexplore.ieee.org
Sleep staging is an effective method for diagnosing sleep disorder and monitoring sleep
quality. With the rapid development of machine learning technology, the automatic staging …

Sleep staging by bidirectional long short-term memory convolution neural network

X Chen, J He, X Wu, W Yan, W Wei - Future Generation Computer Systems, 2020 - Elsevier
Sleep is an indispensable physiological activity for human beings, which can supplement,
enhance resistance, promote the normal growth and development, gets sufficient rest of …