Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while slee**. This reduction in …
apnea may last for a few seconds and happen for many while slee**. This reduction in …
Reliability of machine learning to diagnose pediatric obstructive sleep apnea: Systematic review and meta‐analysis
GC Gutiérrez‐Tobal, D Álvarez… - Pediatric …, 2022 - Wiley Online Library
Background Machine‐learning approaches have enabled promising results in efforts to
simplify the diagnosis of pediatric obstructive sleep apnea (OSA). A comprehensive review …
simplify the diagnosis of pediatric obstructive sleep apnea (OSA). A comprehensive review …
Explainable deep convolutional neural network for valvular heart diseases classification using pcg signals
The heart sounds recorded through a phonocardiogram (PCG) can assist in the early
detection of valvular heart diseases (VHD), which is important for minimizing the chances of …
detection of valvular heart diseases (VHD), which is important for minimizing the chances of …
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry
The gold standard approach to diagnose obstructive sleep apnea (OSA) in children is
overnight in-lab polysomnography (PSG), which is labor-intensive for clinicians and onerous …
overnight in-lab polysomnography (PSG), which is labor-intensive for clinicians and onerous …
Adoption of transformer neural network to improve the diagnostic performance of oximetry for obstructive sleep apnea
Scoring polysomnography for obstructive sleep apnea diagnosis is a laborious, long, and
costly process. Machine learning approaches, such as deep neural networks, can reduce …
costly process. Machine learning approaches, such as deep neural networks, can reduce …
Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability
Heart rate variability (HRV) is modulated by sleep stages and apneic events. Previous
studies in children compared classical HRV parameters during sleep stages between …
studies in children compared classical HRV parameters during sleep stages between …
Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends
Sleep apnea (SA) is characterized by intermittent episodes of apnea or hypopnea paused or
reduced breathing, respectively each lasting at least ten seconds that occur during sleep. SA …
reduced breathing, respectively each lasting at least ten seconds that occur during sleep. SA …
[HTML][HTML] An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals
Deep-learning algorithms have been proposed to analyze overnight airflow (AF) and
oximetry (SpO 2) signals to simplify the diagnosis of pediatric obstructive sleep apnea …
oximetry (SpO 2) signals to simplify the diagnosis of pediatric obstructive sleep apnea …
AGMB-transformer: Anatomy-guided multi-branch transformer network for automated evaluation of root canal therapy
Accurate evaluation of the treatment result on X-ray images is a significant and challenging
step in root canal therapy since the incorrect interpretation of the therapy results will hamper …
step in root canal therapy since the incorrect interpretation of the therapy results will hamper …
[HTML][HTML] ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis
Obstructive sleep apnea (OSA) is a prevalent respiratory condition in children and is
characterized by partial or complete obstruction of the upper airway during sleep. The …
characterized by partial or complete obstruction of the upper airway during sleep. The …