Current status and prospects of automatic sleep stages scoring
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 …
procedure requires considerable human and financial resources, and incorporates some …
Quantitative evaluation of EEG-biomarkers for prediction of sleep stages
Electroencephalography (EEG) is immediate and sensitive to neurological changes
resulting from sleep stages and is considered a computing tool for understanding the …
resulting from sleep stages and is considered a computing tool for understanding the …
A systematic review of machine learning models in mental health analysis based on multi-channel multi-modal biometric signals
J Ehiabhi, H Wang - BioMedInformatics, 2023 - mdpi.com
With the increase in biosensors and data collection devices in the healthcare industry,
artificial intelligence and machine learning have attracted much attention in recent years. In …
artificial intelligence and machine learning have attracted much attention in recent years. In …
Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring
Abstract Study Objectives To quantify the amount of sleep stage ambiguity across expert
scorers and to validate a new auto-scoring platform against sleep staging performed by …
scorers and to validate a new auto-scoring platform against sleep staging performed by …
Deep learning in sign language recognition: a hybrid approach for the recognition of static and dynamic signs
A speech impairment limits a person's capacity for oral and auditory communication. A great
improvement in communication between the deaf and the general public would be …
improvement in communication between the deaf and the general public would be …
Generalizable sleep staging via multi-level domain alignment
Automatic sleep staging is essential for sleep assessment and disorder diagnosis. Most
existing methods depend on one specific dataset and are limited to be generalized to other …
existing methods depend on one specific dataset and are limited to be generalized to other …
A review of automated sleep stage based on EEG signals
X Zhang, X Zhang, Q Huang, Y Lv, F Chen - Biocybernetics and Biomedical …, 2024 - Elsevier
Sleep disorders have increasingly impacted healthy lifestyles. Accurate scoring of sleep
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …
Computer-assisted analysis of polysomnographic recordings improves inter-scorer associated agreement and scoring times
D Alvarez-Estevez, RM Rijsman - Plos one, 2022 - journals.plos.org
Study objectives To investigate inter-scorer agreement and scoring time differences
associated with visual and computer-assisted analysis of polysomnographic (PSG) …
associated with visual and computer-assisted analysis of polysomnographic (PSG) …
Artificial intelligence models for the automation of standard diagnostics in sleep medicine—a systematic review
M Alattar, A Govind, S Mainali - Bioengineering, 2024 - mdpi.com
Sleep disorders, prevalent in the general population, present significant health challenges.
The current diagnostic approach, based on a manual analysis of overnight polysomnograms …
The current diagnostic approach, based on a manual analysis of overnight polysomnograms …
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 …
home environment are needed in various clinical and scientific research settings. Previously …