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 …
[HTML][HTML] IC-U-Net: a U-Net-based denoising autoencoder using mixtures of independent components for automatic EEG artifact removal
Electroencephalography (EEG) signals are often contaminated with artifacts. It is imperative
to develop a practical and reliable artifact removal method to prevent the misinterpretation of …
to develop a practical and reliable artifact removal method to prevent the misinterpretation of …
Advanced sleep spindle identification with neural networks
Sleep spindles are neurophysiological phenomena that appear to be linked to memory
formation and other functions of the central nervous system, and that can be observed in …
formation and other functions of the central nervous system, and that can be observed in …
[HTML][HTML] Deep-spindle: An automated sleep spindle detection system for analysis of infant sleep spindles
L Wei, S Ventura, MA Ryan, S Mathieson… - Computers in Biology …, 2022 - Elsevier
Background: Sleep spindles are an indicator of the development and integrity of the central
nervous system in infants. Identifying sleep spindles manually in EEG is time-consuming …
nervous system in infants. Identifying sleep spindles manually in EEG is time-consuming …
A robust deep learning detector for sleep spindles and K-complexes: towards population norms
Sleep spindles (SSs) and K-complexes (KCs) are brain patterns involved in cognitive
functions that appear during sleep. Large-scale sleep studies would benefit from precise …
functions that appear during sleep. Large-scale sleep studies would benefit from precise …
GTransU-CAP: Automatic labeling for cyclic alternating patterns in sleep EEG using gated transformer-based U-Net framework
J You, Y Ma, Y Wang - Computers in Biology and Medicine, 2022 - Elsevier
Cyclic alternating pattern (CAP) sequences are composed of cycles of alternate activation
phases (A-phases) and background phases. CAP A-phases can be further divided into three …
phases (A-phases) and background phases. CAP A-phases can be further divided into three …
IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture
The main purpose of a detection system is to ascertain the state of an individual's eyes,
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …
Visual identification of sleep spindles in EEG waveform images using deep learning object detection (YOLOv4 vs YOLOX)
M Fraiwan, N Khasawneh - Cluster Computing, 2024 - Springer
The electroencephalogram (EEG) is a tool utilized to capture the intricate electrical dynamics
within the brain, offering invaluable insights into neural activity. This method is pivotal in …
within the brain, offering invaluable insights into neural activity. This method is pivotal in …
Contactless screening for sleep apnea with breathing vibration signals based on modified U-Net
Y Chen, G Ma, M Zhang, S Yang, J Yan, Z Zhang… - Sleep Medicine, 2023 - Elsevier
Background Obstructive sleep apnea (OSA) is a chronic sleep disorder characterized by
frequent cessations or reductions of breathing during sleep. Polysomnography (PSG) is a …
frequent cessations or reductions of breathing during sleep. Polysomnography (PSG) is a …
A personalized semi-automatic sleep spindle detection (PSASD) framework
MM Kafashan, G Gupte, P Kang, O Hyche… - Journal of Neuroscience …, 2024 - Elsevier
Background Sleep spindles are distinct electroencephalogram (EEG) patterns of brain
activity that have been posited to play a critical role in development, learning, and …
activity that have been posited to play a critical role in development, learning, and …