Wavelet-based CNN for Predicting PAP Adherence Using Overnight Polysomnography Recordings: a Pilot Study

M Lei, T Maxim, EM Valladares… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common sleep disorder. Positive airway pressure (PAP)
therapy is the first-line treatment, while its effectiveness is significantly limited by incomplete …

Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning

T Van Steenkiste, W Groenendaal… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Sleep apnea is one of the most common sleep-related breathing disorders. It is diagnosed
through an overnight sleep study in a specialized sleep clinic. This setup is expensive and …

Multiscale Bidirectional Temporal Convolutional Network for Sleep Apnea Detection Based on Wearable Photoplethysmography Bracelet

L Zou, G Liu - IEEE Journal of Biomedical and Health …, 2023 - ieeexplore.ieee.org
Sleep apnea syndrome (SAS), which can lead to a range of Cardiopulmonary diseases, is a
common chronic sleep disorder. The unobtrusive detection based on wearable devices is …

Contactless sleep apnea detection in snoring signals using hybrid deep neural networks targeted for embedded hardware platform with real-time applications

X Lin, H Cheng, Y Lu, H Luo, H Li, Y Qian… - … Signal Processing and …, 2022 - Elsevier
It is estimated that 936 million adults aged 30–69 years suffer from mild to severe obstructive
sleep apnea that can result in poor sleep quality and even endanger their lives. To facilitate …

Convolutional neural network-based obstructive sleep apnea identification

Q Dong, Y Jiraraksopakun… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
Obstructive Sleep Apnea (OSA) identification aims to recognize the sounds from the
obstructive sleep apneahypopnea syndrome (OSANHS) patients. Despite remarkable …

Machine Learning‐Enabled Noncontact Sleep Structure Prediction

Q Zhai, T Tang, X Lu, X Zhou, C Li… - Advanced Intelligent …, 2022 - Wiley Online Library
Automated, effective and efficient sleep‐stage monitoring and structure analysis is an
essential enabling procedure for healthcare automation. Sleep diagnosis by …

Deep recurrent neural networks for automatic detection of sleep apnea from single channel respiration signals

H ElMoaqet, M Eid, M Glos, M Ryalat, T Penzel - Sensors, 2020 - mdpi.com
Sleep apnea is a common sleep disorder that causes repeated breathing interruption during
sleep. The performance of automated apnea detection methods based on respiratory …

MSAF-Transformer: A Multi-scale attentive feature network for sleep apnea prediction based on single lead ECG signal

C Wei, H Kuang, X Ma, X Liu - 2024 IEEE 6th Advanced …, 2024 - ieeexplore.ieee.org
Sleep apnea (SA) is a sleep breathing disorder that can seriously affect the health of
patients. It can result in hypertension, diabetes, and even sudden death. The ability to …

End-to-end sleep apnea detection using single-lead ECG signal and 1-D residual neural networks

RV Sharan, S Berkovsky, H Xiong, E Coiera - Journal of Medical and …, 2021 - Springer
Purpose Sleep apnea causes heart rate variability (HRV). HRV can be detected from the
electrocardiography (ECG) signal and descriptors of HRV during sleep have been shown to …

Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks

L Feng, X Wang - Recent Developments in Mathematical, Statistical and …, 2021 - Springer
Identifying sleep problem severity from overnight polysomnography (PSG) recordings plays
an important role in diagnosing and treating sleep disorders such as the Obstructive Sleep …