[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 …
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets
Sleep relaxes and rests the body by slowing down the metabolism, making us physically
stronger and fitter when we wake up. However, in a sleep disorder that may occur in …
stronger and fitter when we wake up. However, in a sleep disorder that may occur in …
EEG-based headset sleep wearable devices
The rise of wearable technology has led to EEG-based sleep monitoring devices that use
electrodes placed on the forehead, ear, or neck. These devices offer promising applications …
electrodes placed on the forehead, ear, or neck. These devices offer promising applications …
Multi-scale ResNet and BiGRU automatic sleep staging based on attention mechanism
C Liu, Y Yin, Y Sun, OK Ersoy - Plos one, 2022 - journals.plos.org
Sleep staging is the basis of sleep evaluation and a key step in the diagnosis of sleep-
related diseases. Despite being useful, the existing sleep staging methods have several …
related diseases. Despite being useful, the existing sleep staging methods have several …
Deep learning enables accurate automatic sleep staging based on ambulatory forehead EEG
We have previously developed an ambulatory electrode set (AES) for the measurement of
electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG) …
electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG) …
Discrimination of wakefulness from sleep stage I using nonlinear features of a single frontal EEG channel
Objective: Although a wide range of researches have shown the utility of
electroencephalography (EEG) for the sleep monitoring, the majority of them reported a low …
electroencephalography (EEG) for the sleep monitoring, the majority of them reported a low …
LieWaves: dataset for lie detection based on EEG signals and wavelets
This study introduces an electroencephalography (EEG)-based dataset to analyze lie
detection. Various analyses or detections can be performed using EEG signals. Lie …
detection. Various analyses or detections can be performed using EEG signals. Lie …
Generalizable deep learning-based sleep staging approach for ambulatory textile electrode headband recordings
Reliable, automated, and user-friendly solutions for the identification of sleep stages in
home environment are needed in various clinical and scientific research settings. Previously …
home environment are needed in various clinical and scientific research settings. Previously …
Sleep monitoring of children with nocturnal enuresis: a narrative review
B Zhu, K Zou, J He, X Huang, W Zhu… - Frontiers in …, 2021 - frontiersin.org
The purpose of this article is to provide a succinct summary of the sleep monitoring efforts
that have been used in nocturnal enuresis (NE) and an overview of the knowledge that has …
that have been used in nocturnal enuresis (NE) and an overview of the knowledge that has …
A Teenager Physical Fitness Evaluation Model Based on 1D-CNN with LSTM and Wearable Running PPG Recordings
J Guo, B Wan, S Zheng, A Song, W Huang - Biosensors, 2022 - mdpi.com
People attach greater importance to the physical health of teenagers because adolescence
is a critical period for the healthy development of the human body. With the progress of …
is a critical period for the healthy development of the human body. With the progress of …