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 …
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 …
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 …
A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms
Asthma is a complex respiratory disorder in which structural changes in the conducting
airway cause variable airflow limitation. The excessive narrowing of the airway lumen …
airway cause variable airflow limitation. The excessive narrowing of the airway lumen …
[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 …
[HTML][HTML] Paediatric sleep diagnostics in the 21st century: the era of “sleep-omics”?
H Vennard, E Buchan, P Davies… - European …, 2024 - publications.ersnet.org
Paediatric sleep diagnostics is performed using complex multichannel tests in specialised
centres, limiting access and availability and resulting in delayed diagnosis and …
centres, limiting access and availability and resulting in delayed diagnosis and …
Wavelet analysis of overnight airflow to detect obstructive sleep apnea in children
This study focused on the automatic analysis of the airflow signal (AF) to aid in the diagnosis
of pediatric obstructive sleep apnea (OSA). Thus, our aims were:(i) to characterize the …
of pediatric obstructive sleep apnea (OSA). Thus, our aims were:(i) to characterize the …
Pulse oximetry: The working principle, signal formation, and applications
Pulse oximeters are routinely used in various medical-grade and consumer-grade
applications. They can be used to estimate, for example, blood oxygen saturation …
applications. They can be used to estimate, for example, blood oxygen saturation …
Diagnosis of obstructive sleep apnea in children based on the XGBoost algorithm using nocturnal heart rate and blood oxygen feature
P Ye, H Qin, X Zhan, Z Wang, C Liu, B Song… - American Journal of …, 2023 - Elsevier
Purpose Obstructive sleep apnea (OSA) is a serious type of obstructive sleep-disordered
breathing (SDB) that can cause a series of adverse effects on children's cardiovascular …
breathing (SDB) that can cause a series of adverse effects on children's cardiovascular …