Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls
Introduction Visual sleep scoring has several shortcomings, including inter-scorer
inconsistency, which may adversely affect diagnostic decision-making. Although automatic …
inconsistency, which may adversely affect diagnostic decision-making. Although automatic …
Automatic sleep stage classification of children with sleep-disordered breathing using the modularized network
H Wang, G Lin, Y Li, X Zhang, W Xu… - Nature and science of …, 2021 - Taylor & Francis
Purpose To develop an automatic sleep stage analysis model for children and evaluate the
effect of the model on the diagnosis of sleep-disordered breathing (SDB). Patients and …
effect of the model on the diagnosis of sleep-disordered breathing (SDB). Patients and …
Pediatric sleep stage classification using multi-domain hybrid neural networks
Sleep staging is an important part of clinical neurology. However, it is still performed
manually by technical experts and is labor-intensive and time-consuming. To overcome …
manually by technical experts and is labor-intensive and time-consuming. To overcome …
[HTML][HTML] Automatic sleep staging for the young and the old–evaluating age bias in deep learning
Background Various deep-learning systems have been proposed for automated sleep
staging. Still, the significance of age-specific underrepresentation in training data and the …
staging. Still, the significance of age-specific underrepresentation in training data and the …
[PDF][PDF] Pediatric Sleep Scoring In-the-wild from Millions of Multi-channel EEG Signals
Sleep is critical to the health and development of infants, children, and adolescents, but
pediatric sleep is severely under-researched compared to adult sleep in the context of …
pediatric sleep is severely under-researched compared to adult sleep in the context of …
Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG
Sleep is particularly important to the health of infants, children, and adolescents, and sleep
scoring is the first step to accurate diagnosis and treatment of potentially life-threatening …
scoring is the first step to accurate diagnosis and treatment of potentially life-threatening …
[HTML][HTML] An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea
Automatic deep-learning models used for sleep scoring in children with obstructive sleep
apnea (OSA) are perceived as black boxes, limiting their implementation in clinical settings …
apnea (OSA) are perceived as black boxes, limiting their implementation in clinical settings …
Pediatric automatic sleep staging: a comparative study of state-of-the-art deep learning methods
Background: Despite the tremendous prog-ress recently made towards automatic sleep
staging in adults, it is currently unknown if the most advanced algorithms generalize to the …
staging in adults, it is currently unknown if the most advanced algorithms generalize to the …
A two-branch trade-off neural network for balanced scoring sleep stages on multiple cohorts
Introduction Automatic sleep staging is a classification process with severe class imbalance
and suffers from instability of scoring stage N1. Decreased accuracy in classifying stage N1 …
and suffers from instability of scoring stage N1. Decreased accuracy in classifying stage N1 …
SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG
In diagnosing sleep disorders, sleep stage classification is a very essential yet time-
consuming process. Various existing state-of-the-art approaches rely on hand-crafted …
consuming process. Various existing state-of-the-art approaches rely on hand-crafted …