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 …

Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings

AH Khandoker, M Palaniswami… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
Obstructive sleep apnea syndrome (OSAS) is associated with cardiovascular morbidity as
well as excessive daytime sleepiness and poor quality of life. In this study, we apply a …

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 …

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 identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting

AR Hassan, MA Haque - Neurocomputing, 2017 - Elsevier
Computerized obstructive sleep apnea detection is necessary to speed-up sleep apnea
diagnosis and research and for assisting medical professionals. Moreover, the development …

Sleep apnea detection using electrocardiogram signal input to FAWT and optimize ensemble classifier

H Pant, HK Dhanda, S Taran - Measurement, 2022 - Elsevier
Sleep apnea refers to a sleep disorder consist of inconsistent breathing during sleep for
extensive duration of time. During this, one faces difficulty in breathing leading to loss of …

Feature selection on single-lead ECG for obstructive sleep apnea diagnosis

H Gürüler, M Şahin… - Turkish Journal of …, 2014 - journals.tubitak.gov.tr
Many articles that appeared in the literature agreed upon the feasibility of diagnosing
obstructive sleep apnea (OSA) with a single-lead electrocardiogram. Although high …

Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings

AH Khandoker, CK Karmakar… - Computers in Biology and …, 2009 - Elsevier
Patients with obstructive sleep apnoea syndrome (OSAS) are at increased risk of developing
hypertension and other cardiovascular diseases. This paper explores the use of support …

k-NN-based classification of sleep apnea types using ECG

OHAN TİMUŞ, ED BOLAT - Turkish Journal of Electrical …, 2017 - journals.tubitak.gov.tr
Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder that yields
cardiovascular diseases, excessive daytime sleepiness, and poor quality of life if not treated …

Performance evaluation of the spectral autocorrelation function and autoregressive models for automated sleep apnea detection using single-lead ECG signal

A Zarei, BM Asl - Computer Methods and Programs in Biomedicine, 2020 - Elsevier
Background and objective: This paper addresses the automated recognition of obstructive
sleep apnea (OSA) from the analysis of single-lead ECG signals. This is one of the most …