Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works

P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
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 …

Diagnostic Accuracy of Portable Sleep Monitors in Pediatric Sleep Apnea: A Systematic Review

V Landry, K Semsar-Kazerooni, T Chen… - Sleep Medicine …, 2024 - Elsevier
In recent years, a plethora of new type III and IV portable sleep monitors (PSM) have been
developed, although evidence regarding their diagnostic accuracy for use in children …

Sleep stage classification in children using self-attention and Gaussian noise data augmentation

X Huang, K Shirahama, MT Irshad, MA Nisar, A Piet… - Sensors, 2023 - mdpi.com
The analysis of sleep stages for children plays an important role in early diagnosis and
treatment. This paper introduces our sleep stage classification method addressing the …

A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry

J Jiménez-García, M García, GC Gutiérrez-Tobal… - Computers in Biology …, 2022 - Elsevier
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 …

Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability

A Martín-Montero, P Armanac-Julián, E Gil… - Computers in Biology …, 2023 - Elsevier
Heart rate variability (HRV) is modulated by sleep stages and apneic events. Previous
studies in children compared classical HRV parameters during sleep stages between …

Pulse oximetry: the working principle, signal formation, and applications

T Leppänen, S Kainulainen, H Korkalainen… - Advances in the …, 2022 - Springer
Pulse oximeters are routinely used in various medical-grade and consumer-grade
applications. They can be used to estimate, for example, blood oxygen saturation …

Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry …

M Sharma, D Kumbhani, J Tiwari, TS Kumar… - Computers in Biology …, 2022 - Elsevier
Obstructive sleep apnea (OSA) is a common respiratory disorder marked by interruption of
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …

[HTML][HTML] An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals

J Jiménez-García, M García, GC Gutiérrez-Tobal… - … Signal Processing and …, 2024 - Elsevier
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 …

ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis

C García-Vicente, GC Gutiérrez-Tobal… - Computers in biology …, 2023 - Elsevier
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 …

Automated scoring of sleep and associated events

P Anderer, M Ross, A Cerny, E Shaw - … in the Diagnosis and Treatment of …, 2022 - Springer
Conventionally, sleep and associated events are scored visually by trained technologists
according to the rules summarized in the American Academy of Sleep Medicine Manual …