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[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 …
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 …
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
Most existing neonatal sleep staging appro-aches applied multiple EEG channels to obtain
good performance. However, it potentially increased the computational complexity and led …
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 …
assessment and sleep disorder diagnosis. However, traditional sleep stage classification …
Exploring structure incentive domain adversarial learning for generalizable sleep stage classification
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 …
accordance with the standards prescribed by the American Academy of Sleep Medicine, a …
Sleep stage classification with multi-modal fusion and denoising diffusion model
Sleep stage classification plays a crucial role in sleep quality assessment and sleep
disorder prevention. Nowadays, many studies have developed algorithms for this purpose …
disorder prevention. Nowadays, many studies have developed algorithms for this purpose …
CareSleepNet: a hybrid deep learning network for automatic sleep staging
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 …
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 …
interventions. Polysomnography (PSG) signals, rich in information from multiple …
Multi-modal sleep stage classification with two-stream encoder-decoder
Sleep staging serves as a fundamental assessment for sleep quality measurement and
sleep disorder diagnosis. Although current deep learning approaches have successfully …
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 …
both time-consuming and subjective. In this study, we proposed a novel deep learning …