A hybrid feature selection and extraction methods for sleep apnea detection using bio-signals

X Li, SH Ling, S Su - Sensors, 2020 - mdpi.com
People with sleep apnea (SA) are at increased risk of having stroke and cardiovascular
diseases. Polysomnography (PSG) is used to detect SA. This paper conducts feature …

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 …

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 …

Sleep apnea detection using multi-error-reduction classification system with multiple bio-signals

X Li, FHF Leung, S Su, SH Ling - Sensors, 2022 - mdpi.com
Introduction: Obstructive sleep apnea (OSA) can cause serious health problems such as
hypertension or cardiovascular disease. The manual detection of apnea is a time …

Automated recognition of obstructive sleep apnea syndrome using support vector machine classifier

HM Al-Angari, AV Sahakian - IEEE Transactions on Information …, 2012 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common sleep disorder that causes pauses of breathing
due to repetitive obstruction of the upper airways of the respiratory system. The effect of this …

Detection and classification of sleep apnea using genetic algorithms and SVM‐based classification of thoracic respiratory effort and oximetric signal features

Z Abedi, N Naghavi… - Computational Intelligence, 2017 - Wiley Online Library
Sleep apnea is a relatively prevalent breathing disorder characterized by temporary
interruptions in airflow during sleep. There are 2 major types of sleep apnea. Obstructive …

Feature selection algorithm based on random forest applied to sleep apnea detection

M Deviaene, D Testelmans, P Borzée… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
This paper presents a new feature selection method based on the changes in out-of-bag
(OOB) Cohen kappa values of a random forest (RF) classifier, which was tested on the …

Respiratory effort signal based sleep apnea detection system using improved random forest classifier

A Prabha, J Yadav, A Rani, V Singh - IETE Journal of Research, 2023 - Taylor & Francis
This work aims to develop a minimally obtrusive simple system for the automatic detection
and classification of sleep apnea (SA) events using the single-channel abdomen respiratory …

End-to end decision support system for sleep apnea detection and Apnea-Hypopnea Index calculation using hybrid feature vector and Machine learning

RS Arslan, H Ulutas, AS Köksal, M Bakir… - Biocybernetics and …, 2023 - Elsevier
Sleep apnea is a disease that occurs due to the decrease in oxygen saturation in the blood
and directly affects people's lives. Detection of sleep apnea is crucial for assessing sleep …

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 …