[HTML][HTML] Advances in Modeling and Interpretability of Deep Neural Sleep Staging: A Systematic Review

R Soleimani, J Barahona, Y Chen, A Bozkurt… - Physiologia, 2023 - mdpi.com
Sleep staging has a very important role in diagnosing patients with sleep disorders. In
general, this task is very time-consuming for physicians to perform. Deep learning shows …

Boosting Algorithm to handle Unbalanced Classification of PM2. 5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia using …

T Toharudin, RE Caraka, IR Pratiwi, Y Kim… - IEEE …, 2023 - ieeexplore.ieee.org
Air quality conditions are now more severe in the Jakarta area that is among the world's top
eight worst cities according to the 2022 Air Quality Index (AQI) report. In particular, the data …

Sequence signal reconstruction based multi-task deep learning for sleep staging on single-channel EEG

C Zhao, J Li, Y Guo - Biomedical Signal Processing and Control, 2024 - Elsevier
The temporal context information between sleep stage sequence contains sleep transition
rules, which is important for improving sleep staging performance. Existing multi-task …

FEHANet: A frequency enhanced Hybrid attention network for Bispectral Index Score estimation

H Zhang, H Wu, Q Chen, Y Xia - Biomedical Signal Processing and Control, 2024 - Elsevier
Electroencephalography (EEG), as a non-invasive and real-time tool for monitoring brain
activity, is commonly used for assessing the depth of anesthesia. This study aims to predict …

Deep Neural Networks for Automatic Sleep Stage Classification and Consciousness Assessment in Patients with Disorder of Consciousness

J Pan, Y Yu, J Wu, X Zhou, Y He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Disorders of consciousness (DOCs) are often related to serious changes in sleep structure.
This paper presents a sleep evaluation algorithm that scores the sleep structure of DOC …

LGSleepNet: An Automatic Sleep Staging Model Based on Local and Global Representation Learning

Q Shen, J Xin, X Liu, Z Wang, C Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Sleep staging is an indispensable indicator for measuring sleep quality and evaluating
sleep disorders. Deep learning methods have been successfully applied to automatic sleep …

Leveraging discriminative features for automatic sleep stage classification based on raw single-channel EEG

X Heng, M Wang, Z Wang, J Zhang, L He… - … Signal Processing and …, 2024 - Elsevier
Sleep staging is the basis for assessing sleep quality. In the process of scoring each sleep
stage, some automatic sleep staging models often fail to effectively capture the more …

4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification

M Li, H Chen, Y Liu, Q Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
Sleep staging serves as a critical basis for assessing sleep quality and diagnosing sleep
disorders in clinical practice. Most existing methods rely solely on a single channel for sleep …

Automatic sleep stage classification for the obstructive sleep apnea patients with feature mining

S Özşen, Y Koca, G Tezel, FZ Solak… - Journal of …, 2023 - Trans Tech Publ
Automatic sleep scoring systems have being much more attention in last decades. Whereas
a wide variety of studies have been used in this subject area, the accuracies are still under …

Derin öğrenme ağ yapılarının uyku evreleme problemlerineuygulanması

E Efe - 2022 - gcris.ktun.edu.tr
Uyku, metabolizmayı yavaşlatarak vücudu rahatlatır ve dinlendirir, uyandığımızda fiziksel
olarak daha güçlü ve zinde olmamızı sağlar. Ancak insanlarda meydana gelebilecek bir …