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 …

Sleep Apnea Detection Using Wavelet Scattering Transformation and Random Forest Classifier

AI Sharaf - Entropy, 2023 - mdpi.com
Obstructive Sleep Apnea (OSA) is a common sleep-breathing disorder that highly reduces
the quality of human life. The most powerful method for the detection and classification of …

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 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 …

Computerized obstructive sleep apnea diagnosis from single-lead ECG signals using dual-tree complex wavelet transform

AR Hassan, SK Bashar… - 2017 IEEE region 10 …, 2017 - ieeexplore.ieee.org
An algorithm for apnea identification using one-lead electrocardiogram is presented in this
article. Segments of ECG signals are fed into dual-tree complex wavelet transform (DT-CWT) …

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 …

An obstructive sleep apnea detection approach using kernel density classification based on single-lead electrocardiogram

L Chen, X Zhang, H Wang - Journal of medical systems, 2015 - Springer
Obstructive sleep apnea (OSA) is a common sleep disorder that often remains undiagnosed,
leading to an increased risk of developing cardiovascular diseases. Polysomnogram (PSG) …

Computer-aided obstructive sleep apnea screening from single-lead electrocardiogram using statistical and spectral features and bootstrap aggregating

AR Hassan, MA Haque - Biocybernetics and Biomedical Engineering, 2016 - Elsevier
Automatic sleep apnea screening is important to alleviate the onus of the physicians of
analyzing a large volume of data visually. Again, the push towards low-power, portable and …

A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network

SMI Niroshana, X Zhu, K Nakamura, W Chen - Plos one, 2021 - journals.plos.org
Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing
during sleep and is associated with many other medical conditions, including hypertension …