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 classification algorithm development using a machine-learning framework and bag-of-features derived from electrocardiogram spectrograms

CY Lin, YW Wang, F Setiawan, NTH Trang… - Journal of Clinical …, 2021 - mdpi.com
Background: Heart rate variability (HRV) and electrocardiogram (ECG)-derived respiration
(EDR) have been used to detect sleep apnea (SA) for decades. The present study proposes …

A novel technique to diagnose sleep apnea in suspected patients using their ECG data

SQ Ali, S Khalid, SB Belhaouari - Ieee Access, 2019 - ieeexplore.ieee.org
Sleep Apnea is a breathing disorder that occurs while the patient is sleeping. Traditionally,
Polysomnography is used to diagnose it. However, it is quite inconvenient and expensive …

A new method for sleep apnea classification using wavelets and feedforward neural networks

O Fontenla-Romero, B Guijarro-Berdinas… - Artificial Intelligence in …, 2005 - Elsevier
OBJECTIVES:: This paper presents a novel approach for sleep apnea classification. The
goal is to classify each apnea in one of three basic types: obstructive, central and mixed …

A new approach for identifying sleep apnea syndrome using wavelet transform and neural networks

R Lin, RG Lee, CL Tseng, HK Zhou… - Biomedical …, 2006 - World Scientific
This paper describes a new technique to classify and analyze the electroencephalogram
(EEG) signal and recognize the EEG signal characteristics of Sleep Apnea Syndrome (SAS) …

Classification of sleep apnea based on EEG sub-band signal characteristics

X Zhao, X Wang, T Yang, S Ji, H Wang, J Wang… - Scientific Reports, 2021 - nature.com
Sleep apnea syndrome (SAS) is a disorder in which respiratory airflow frequently stops
during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological …

Sleep apnea classification using random forest via ECG

AP Razi, Z Einalou, M Manthouri - Sleep and Vigilance, 2021 - Springer
Sleep apnea (SA) is among the most common sleep-related disorders, which is defined as
the interruption of airflow in the airways for at least 10 s. Apnea can lead to different types of …

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 …

Detection of apnea events from ECG segments using Fourier decomposition method

B Fatimah, P Singh, A Singhal, RB Pachori - Biomedical Signal Processing …, 2020 - Elsevier
Absence of airflow in breathing during sleep for more than 10 s is known as sleep apnea. It
causes low oxygen levels in the blood which may lead to many cardiovascular problems …

[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 …