Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry …

M Sharma, D Kumbhani, J Tiwari, TS Kumar… - Computers in Biology …, 2022 - Elsevier
Obstructive sleep apnea (OSA) is a common respiratory disorder marked by interruption of
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …

Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals

M Sharma, S Agarwal, UR Acharya - Computers in biology and medicine, 2018 - Elsevier
Obstructive sleep apnea (OSA) is a sleep disorder caused due to interruption of breathing
resulting in insufficient oxygen to the human body and brain. If the OSA is detected and …

[HTML][HTML] A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals

M Sharma, M Raval, UR Acharya - Informatics in Medicine Unlocked, 2019 - Elsevier
Obstructive sleep apnea (OSA) is a severe sleep ailment. It manifests when a person's
breathing is interrupted while sleeping due to an inadequate supply of oxygen to the brain …

Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals

M Sharma, D Kumbhani, A Yadav, UR Acharya - Applied Intelligence, 2022 - Springer
Sleep apnea is a potential sleep disorder, which deteriorates the quality of sleep. It is
characterized by the obstruction in nasal airflow, which results in a low concentration of …

Obstructive sleep apnea detection using discrete wavelet transform-based statistical features

KN Rajesh, R Dhuli, TS Kumar - Computers in Biology and Medicine, 2021 - Elsevier
Motivation and objective Obstructive sleep apnea (OSA) is a sleep disorder identified in
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …

Automatic detection of obstructive sleep apnea using wavelet transform and entropy-based features from single-lead ECG signal

A Zarei, BM Asl - IEEE journal of biomedical and health …, 2018 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a prevalent sleep disorder and highly affects the quality of
human life. Currently, gold standard for OSA detection is polysomnogram. Since this method …

Detection of sleep apnea from electrocardiogram and pulse oximetry signals using random forest

J Zhu, A Zhou, Q Gong, Y Zhou, J Huang, Z Chen - Applied Sciences, 2022 - mdpi.com
Sleep apnea (SA) is a common sleep disorder which could impair the human physiological
system. Therefore, early diagnosis of SA is of great interest. The traditional method of …

Automated detection of obstructive apnea and hypopnea events from oxygen saturation signal

YK Lee, M Bister, P Blanchfield… - The 26th annual …, 2004 - ieeexplore.ieee.org
Our objective is to automate the detection of apnea and hypopnea events in obstructive
sleep apnea hypopnea (OSAH) syndrome based on analysis of arterial oxygen saturation …

A model for obstructive sleep apnea detection using a multi-layer feed-forward neural network based on electrocardiogram, pulse oxygen saturation, and body mass …

Z Li, Y Li, G Zhao, X Zhang, W Xu, D Han - Sleep and Breathing, 2021 - Springer
Purpose To develop and evaluate a model for obstructive sleep apnea (OSA) detection
using an artificial neural network (ANN) based on the combined features of body mass index …

[HTML][HTML] ECG and SpO2 signal-based real-time sleep apnea detection using feed-forward artificial neural network

T Paul, O Hassan, K Alaboud, H Islam… - AMIA Summits on …, 2022 - ncbi.nlm.nih.gov
Sleep apnea (SA) is a common sleep disorder characterized by respiratory disturbance
during sleep. Polysomnography (PSG) is the gold standard for apnea diagnosis, but it is time …