Identification of Sleep Apnea using Deep Learning and Machine Learning Techniques on ECG Data

M Tanuj, B Chekuri, S Palaniswamy… - 2023 International …, 2023 - ieeexplore.ieee.org
Patients with sleep apnea (SA) frequently experience episodes where the airflow to their
lungs stops or decreases for more than 10 seconds. Accurately recognising SA episodes is …

Deep-learning based sleep apnea detection using sleep sound, SpO2, and pulse rate

C Singtothong, T Siriborvornratanakul - International Journal of Information …, 2024 - Springer
Sleep apnea, a common sleep disorder where breathing is repeatedly interrupted during
sleep, poses significant health risks. Traditional diagnostic methods like overnight …

Efficient deep learning based hybrid model to detect obstructive sleep apnea

P Hemrajani, VS Dhaka, G Rani, P Shukla… - Sensors, 2023 - mdpi.com
An increasing number of patients and a lack of awareness about obstructive sleep apnea is
a point of concern for the healthcare industry. Polysomnography is recommended by health …

Sleep Apnea Detection–A Comparative study and efficient solution with modified LeNet-5

R Sikri, P Gupta - 2023 International Conference on Advances …, 2023 - ieeexplore.ieee.org
Sleep apnea (SA) is a common sleep disease that, if neglected, can have serious
cardiovascular and neurological effects. The standard diagnostic method, polysomnography …

Detection of Obstructive Sleep Apnea Based on Deep Learning Models from ECG Signals: A Review

A Adjal, I Bendib, MY Haouam, A Meraoumia… - … on Computing and …, 2023 - Springer
Abstract Obstructive Sleep Apnea (OSA) is a prevalent sleep disorder associated with
severe health implications, necessitating accurate and timely detection methods. An …

Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection

O Hassan, T Paul, MMH Shuvo, D Parvin… - Journal of Signal …, 2023 - dl.acm.org
Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea
Detection | Journal of Signal Processing Systems skip to main content ACM Digital Library …

Automatic detection of obstructive sleep apnea events using a deep CNN‐LSTM model

J Zhang, Z Tang, J Gao, L Lin, Z Liu… - Computational …, 2021 - Wiley Online Library
Obstructive sleep apnea (OSA) is a common sleep‐related respiratory disorder. Around the
world, more and more people are suffering from OSA. Because of the limitation of monitor …

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 …

Automatic system for obstructive sleep apnea events detection using convolutional neural network

L Cen, ZL Yu, T Kluge, W Ser - 2018 40th annual international …, 2018 - ieeexplore.ieee.org
Obstructive Sleep Apnea (OSA) is characterized by repetitive episodes of airflow reduction
(hypopnea) or cessation (apnea), which, as a prevalent sleep disorder, can cause people to …

Deep Learning Based Obstructive Sleep Apnea Detection for e-health Applications

ESJ Jothi, J Anitha, J Priyadharshini… - … Conference on Electronic …, 2022 - Springer
The lack of oxygen caused by constricting of the upper respiratory system causes
Obstructive Sleep Apnea (OSA), which mainly manifests as low concentration, sleepiness …