[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 …

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 …

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 …

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 …

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 …

An expert system for automated recognition of patients with obstructive sleep apnea using electrocardiogram recordings

A Yildiz, M Akın, M Poyraz - Expert Systems with Applications, 2011 - Elsevier
Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder. The traditional
diagnosis methods of the disorder are cumbersome and expensive. The ability to …

Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals

M Sharma, HS Dhiman, UR Acharya - Computers in biology and medicine, 2021 - Elsevier
Sleep is a fundamental human physiological activity required for adequate working of the
human body. Sleep disorders such as sleep movement disorders, nocturnal front lobe …

Sleep apnea classification using ECG-signal wavelet-PCA features

VP Rachim, G Li, WY Chung - Bio-medical materials and …, 2014 - content.iospress.com
Sleep apnea is often diagnosed using an overnight sleep test called a polysomnography
(PSG). Unfortunately, though it is the gold standard of sleep disorder diagnosis, a PSG is …

Detection of abnormal respiratory events with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea

F Bozkurt, MK Uçar, MR Bozkurt, C Bilgin - Irbm, 2020 - Elsevier
Respiratory scoring is an important step in the diagnosis of Obstructive Sleep Apnea (OSA).
Airflow, abdolmel-thorax and pulse oximetry signals are obtained with the help of …