A systematic review of sensing technologies for wearable sleep staging

SA Imtiaz - Sensors, 2021 - mdpi.com
Designing wearable systems for sleep detection and staging is extremely challenging due to
the numerous constraints associated with sensing, usability, accuracy, and regulatory …

A review of automated sleep stage scoring based on physiological signals for the new millennia

O Faust, H Razaghi, R Barika, EJ Ciaccio… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective Sleep is an important part of our life. That importance is
highlighted by the multitude of health problems which result from sleep disorders. Detecting …

An attention-based deep learning approach for sleep stage classification with single-channel EEG

E Eldele, Z Chen, C Liu, M Wu… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Automatic sleep stage mymargin classification is of great importance to measure sleep
quality. In this paper, we propose a novel attention-based deep learning architecture called …

Joint classification and prediction CNN framework for automatic sleep stage classification

H Phan, F Andreotti, N Cooray… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Correctly identifying sleep stages is important in diagnosing and treating sleep disorders.
This paper proposes a joint classification-and-prediction framework based on convolutional …

Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective

A Bandyopadhyay, C Goldstein - Sleep and Breathing, 2023 - Springer
Background The past few years have seen a rapid emergence of artificial intelligence (AI)-
enabled technology in the field of sleep medicine. AI refers to the capability of computer …

EEG-based sleep stage classification via neural architecture search

G Kong, C Li, H Peng, Z Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the improvement of quality of life, people are more and more concerned about the
quality of sleep. The electroencephalogram (EEG)-based sleep stage classification is a …

Current status and prospects of automatic sleep stages scoring

M Gaiduk, Á Serrano Alarcón, R Seepold… - Biomedical engineering …, 2023 - Springer
The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual
procedure requires considerable human and financial resources, and incorporates some …

Automated classification of multi-class sleep stages classification using polysomnography signals: a nine-layer 1D-convolution neural network approach

SK Satapathy, D Loganathan - Multimedia Tools and Applications, 2023 - Springer
Sleep disorder diseases have one of the major health issues across the world. To handle
this issue the primary step taken by most of the sleep experts is the sleep staging …

Automated sleep stage scoring using time-frequency spectra convolution neural network

P Jadhav, S Mukhopadhyay - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Sleep stage scoring is fundamental for the examination and analysis of sleep problems.
Sleep experts score sleep by analyzing brain activity, muscle activity, and eye activity …

Multichannelsleepnet: A transformer-based model for automatic sleep stage classification with psg

Y Dai, X Li, S Liang, L Wang, Q Duan… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Automatic sleep stage classification plays an essential role in sleep quality measurement
and sleep disorder diagnosis. Although many approaches have been developed, most use …