[HTML][HTML] Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice

H Yue, Z Chen, W Guo, L Sun, Y Dai, Y Wang… - Sleep Medicine …, 2024 - Elsevier
Over the past few decades, researchers have attempted to simplify and accelerate the
process of sleep stage classification through various approaches; however, only a few such …

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 …

MS-HNN: Multi-scale hierarchical neural network with squeeze and excitation block for neonatal sleep staging using a single-channel EEG

H Zhu, L Wang, N Shen, Y Wu, S Feng… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Most existing neonatal sleep staging appro-aches applied multiple EEG channels to obtain
good performance. However, it potentially increased the computational complexity and led …

Automatic sleep stage classification using deep learning: signals, data representation, and neural networks

P Liu, W Qian, H Zhang, Y Zhu, Q Hong, Q Li… - Artificial Intelligence …, 2024 - Springer
In clinical practice, sleep stage classification (SSC) is a crucial step for physicians in sleep
assessment and sleep disorder diagnosis. However, traditional sleep stage classification …

Exploring structure incentive domain adversarial learning for generalizable sleep stage classification

S Ma, Y Zhang, Y Chen, T **e, S Song… - ACM Transactions on …, 2024 - dl.acm.org
Sleep stage classification is crucial for sleep state monitoring and health interventions. In
accordance with the standards prescribed by the American Academy of Sleep Medicine, a …

Sleep stage classification with multi-modal fusion and denoising diffusion model

X Xu, F Cong, Y Chen, J Chen - IEEE Journal of Biomedical …, 2024 - ieeexplore.ieee.org
Sleep stage classification plays a crucial role in sleep quality assessment and sleep
disorder prevention. Nowadays, many studies have developed algorithms for this purpose …

CareSleepNet: a hybrid deep learning network for automatic sleep staging

J Wang, S Zhao, H Jiang, Y Zhou, Z Yu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Sleep staging is essential for sleep assessment and plays an important role in disease
diagnosis, which refers to the classification of sleep epochs into different sleep stages …

Ccam: Cross-channel association mining for ubiquitous sleep staging

S Ma, Y Zhang, Y Liu, Y Chen, W Yang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Accurate sleep staging is crucial for wearable sensor-based sleep monitoring and health
interventions. Polysomnography (PSG) signals, rich in information from multiple …

Multi-modal sleep stage classification with two-stream encoder-decoder

Z Zhang, BS Lin, CW Peng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sleep staging serves as a fundamental assessment for sleep quality measurement and
sleep disorder diagnosis. Although current deep learning approaches have successfully …

A feature fusion model based on temporal convolutional network for automatic sleep staging using single-channel EEG

J Bao, G Wang, T Wang, N Wu, S Hu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Sleep staging is a crucial task in sleep monitoring and diagnosis, but clinical sleep staging is
both time-consuming and subjective. In this study, we proposed a novel deep learning …