Clinical practice for diagnostic causes for obstructive sleep apnea using artificial intelligent neural networks

M Alsalamah, S Amin, V Palade - … , iCETiC 2018, London, UK, August 23 …, 2018 - Springer
Sleep apnea is a serious sleep disorder phenomena which happens when a person's
breathing is paused during sleep. The most common diagnostic technique that is used to …

Detection of obstructive sleep apnea using deep neural network

M Alsalamah, S Amin, V Palade - … of Big Data Analytics: Trends, Issues …, 2018 - Springer
Sleep apnea is a serious sleep disorder phenomena that occurs when a person's breathing
is interrupted during sleep. The most common diagnostic technique that is used to deal with …

Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

AR Troncoso-García, M Martínez-Ballesteros… - … Work-Conference on …, 2023 - Springer
This paper explores the use of deep learning techniques for detecting sleep apnea. Sleep
apnea is a common sleep disorder characterized by abnormal breathing pauses or …

Obstructive Sleep Apnea Detection from ECG Signals with Deep Learning

JA Shilvya, PSH Jose - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Among the newer problems that have been linked to heart disease, hypertension,
sleeplessness, and other ailments in recent years is sleep related disorders. One such …

Sleep Apnea Detection: From Signal Processing to Deep Learning

D Meena, V Kumar, NK Makhija… - … on Advances in …, 2024 - ieeexplore.ieee.org
One of the most widespread sleeping disorders is sleep apnea, which if left untreated, can
lead to serious health issues, from hypertension to heart functioning. However, many people …

Deep Learning Approach for Sleep Apnea Detection Using Single Lead ECG: Comparative Analysis Between CNN and SNN

SS Salam, R Rafi - 2023 26th International Conference on …, 2023 - ieeexplore.ieee.org
Sleep apnea, a sleep disorder causing interrupted breathing during sleep, leads to issues
like fatigue and cardiovascular problems. Deep learning technology offers a potential …

Performance analysis of machine learning algorithms for sleep apnea detection using ECG

A Ramachandran, AK Pant, A Karuppiah - Smart Trends in Computing and …, 2022 - Springer
Sleep apnea is a sleep disorder in which a sleeping person's breathing is disturbed.
Subjects suffering from sleep apnea undergo periods of no or shallow breathing during their …

[PDF][PDF] Sleep apnea events detection using deep learning techniques

M Abed, T Ibrikci - J Sleep Disor Treat Care, 2023 - researchgate.net
This research underlines an automated approach for detecting sleep apnea events from
sleep studies. The Polysomnogram test is the gold standard for diagnosing sleep apnea …

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 …

[PDF][PDF] A deep neural network classifier for diagnosing sleep apnea from ECG data on smartphones and small embedded systems

A Kaguara, KM Nam, S Reddy - PhD ThesisSwarthmore, 2015 - researchgate.net
Obstructive sleep apnea (OSA) is a prevalent sleep disorder caused by an obstruction of a
person's airway, which can cause people to stop breathing for 10 to 30 seconds at a time …