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 …
the quality of human life. The most powerful method for the detection and classification of …
Automatic detection of obstructive sleep apnea using wavelet transform and entropy-based features from single-lead ECG signal
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 …
human life. Currently, gold standard for OSA detection is polysomnogram. Since this method …
Obstructive sleep apnea detection using discrete wavelet transform-based statistical features
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 …
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …
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 …
system. Therefore, early diagnosis of SA is of great interest. The traditional method of …
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 …
extensive duration of time. During this, one faces difficulty in breathing leading to loss of …
Sleep Apnea detecting based on ECG and EEG signals using Discrete Wavelet Transform and Artificial Neural Network
Sleep apnea is a severe sleep disorder that happens when breathing stops and starts
during slumber. If it goes untreated, it can cause serious health problems. In recent years …
during slumber. If it goes untreated, it can cause serious health problems. In recent years …
Computer aided detection of obstructive sleep apnea from EEG signals
SA Bello, U Alqasemi - Available at SSRN 3890660, 2021 - papers.ssrn.com
Sleep Apnea is an anomaly in sleeping characterized by short pause in breathing. Failure to
treat sleep apnea leads to fatal complications in both psychological and physiological being …
treat sleep apnea leads to fatal complications in both psychological and physiological being …
Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals
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 …
characterized by the obstruction in nasal airflow, which results in a low concentration of …
Sleep apnea classification using ECG-signal wavelet-PCA features
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 …
(PSG). Unfortunately, though it is the gold standard of sleep disorder diagnosis, a PSG is …
Sleep apnea detection based on ECG signals using discrete wavelet transform and artificial neural network
Sleep apnea is a sleep disorder that can cause serious health problems. An Artificial Neural
Network classifier to detect sleep apnea has been presented in this paper by utilizing the …
Network classifier to detect sleep apnea has been presented in this paper by utilizing the …