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 …

Pre-Emptive Sleep Apnea Detection Using Deep Learning

PM Kumar, R Malavika, PP Sharon… - … For Internet of …, 2024 - ieeexplore.ieee.org
Upper airway blockage, either partial or total, occurs repeatedly during sleep causes a
dysfunction known as obstructive sleep apnea (OSA). This problem can cause disrupted …

[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 …

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 …

A Deep Learning Framework for Sleep Apnea Detection

A Sathiya, A Sridevi, KG Dharani - International Conference on Trends in …, 2023 - Springer
Sleep apnea is a common sleep problem that has a major impact on society. The gold
standard, polysomnography, is difficult to obtain, can be unpleasant, and requires a skilled …

[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 …

A deep learning model developed for sleep apnea detection: A multi-center study

F Li, Y Xu, J Chen, P Lu, B Zhang, F Cong - Biomedical Signal Processing …, 2023 - Elsevier
Objective. Manual detection of obstructive sleep apnea (OSA) is a challenging task for many
reasons such as time-consuming and subjective. This study aimed to develop a deep …

Deep-learning based sleep apnea detection using spo2 and pulse rate

P Sharma, A Jalali, M Majmudar… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
This work presents automated apnea event de-tection using blood oxygen saturation (SpO2)
and pulse rate (PR), conveniently recorded with a pulse oximeter. A large, diverse cohort of …

A review of automated sleep apnea detection using deep neural network

PK Tyagi, D Agarwal, P Mishra - … Internet of Things (IoT) and Smart …, 2022 - taylorfrancis.com
Sleep apnea (SLA) is one of the most common sleep-related disorders, and the effects of
undiagnosed SLA can range from high blood pressure to cardiac arrest. However, the …

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 …