A systematic review of detecting sleep apnea using deep learning

SS Mostafa, F Mendonça, A G. Ravelo-García… - Sensors, 2019 - mdpi.com
Sleep apnea is a sleep related disorder that significantly affects the population.
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …

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 sleeping. This reduction in …

Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends

M Sharma, K Kumar, P Kumar, RS Tan… - Physiological …, 2022 - iopscience.iop.org
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 …

The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model

M Abdel-Basset, W Ding, L Abdel-Fatah - Information Fusion, 2020 - Elsevier
Abstract Obstructive Sleep Apnea (OSA) syndrome is one of the most widespread diseases
that difficult to be detected and remedied. In particular, the examination of OSA by using the …

Review on biomedical sensors, technologies and algorithms for diagnosis of sleep disordered breathing: Comprehensive survey

S Ahmadzadeh, J Luo, R Wiffen - IEEE Reviews in Biomedical …, 2020 - ieeexplore.ieee.org
This paper provides a comprehensive review of available technologies for measurements of
vital physiology related parameters that cause sleep disordered breathing (SDB). SDB is a …

ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO2 Signal

HT Chaw, T Kamolphiwong… - … Intelligence and Soft …, 2023 - Wiley Online Library
Sleep apnea is one of the most common sleep disorders in the world. It is a common
problem for patients to suffer from sleep disturbances. In this paper, we propose a deep …

The effect of aerobic exercise on stroke rehabilitation

H Gezer, OZ Karaahmet, E Gurcay… - Irish Journal of Medical …, 2019 - Springer
Background and aims To compare the effects of aerobic exercise and conventional exercise
that were applied during the rehabilitation process on the aerobic capacity, motor function …

Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach

PK Tyagi, D Agarwal - Biomedical Engineering Letters, 2023 - Springer
Sleep apnea (SLA) is a respiratory-related sleep disorder that affects a major proportion of
the population. The gold standard in sleep testing, polysomnography, is costly, inconvenient …

Sleep apnea detection using deep learning

HT Chaw, S Kamolphiwong, K Wongsritrang - Tehnički glasnik, 2019 - hrcak.srce.hr
Sažetak Sleep apnea is the cessation of airflow at least 10 seconds and it is the type of
breathing disorder in which breathing stops at the time of sleeping. The proposed model …

Breathing rate variability in obstructive sleep apnea during wakefulness

A Pal, F Martinez, MA Akey, RS Aysola… - Journal of Clinical …, 2022 - jcsm.aasm.org
Study Objectives: Obstructive sleep apnea (OSA) is defined by pauses in breathing during
sleep, but daytime breathing dysregulation may also be present. Sleep may unmask …