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

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

Sleep staging is crucial for assessing sleep quality and diagnosing sleep disorders. Recent advances in deep learning methods with electroencephalogram (EEG) signals have shown remarkable success in automatic sleep staging. However, the use of deeper neural networks may lead to the issues of gradien...

Full description

Bibliographic Details
Main Authors: Weiming Li, Junhui Gao
Format: Article
Language:English
Published: PeerJ Inc. 2023-09-01
Series:PeerJ Computer Science
Subjects:
Sleep staging
EEG
Deep learning
ResNet
Squeeze-and-Excitation
LSTM
Online Access:https://peerj.com/articles/cs-1561.pdf

Internet

https://peerj.com/articles/cs-1561.pdf

Similar Items