[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 …

CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets

E Efe, S Ozsen - Biomedical Signal Processing and Control, 2023 - Elsevier
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 …

EEG-based headset sleep wearable devices

K Markov, M Elgendi, C Menon - npj Biosensing, 2024 - nature.com
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 …

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 …

Deep learning enables accurate automatic sleep staging based on ambulatory forehead EEG

A Leino, H Korkalainen, L Kalevo, S Nikkonen… - IEEE …, 2022 - ieeexplore.ieee.org
We have previously developed an ambulatory electrode set (AES) for the measurement of
electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG) …

Discrimination of wakefulness from sleep stage I using nonlinear features of a single frontal EEG channel

M Shahbakhti, M Beiramvand, T Eigirdas… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
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 …

LieWaves: dataset for lie detection based on EEG signals and wavelets

M Aslan, M Baykara, TB Alakus - Medical & Biological Engineering & …, 2024 - Springer
This study introduces an electroencephalography (EEG)-based dataset to analyze 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

M Rusanen, R Huttunen, H Korkalainen… - IEEE journal of …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …