ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks
Sleep Apnea (SA) can cause health complications including heart stroke and neurological
disorders. The Polysomnography (PSG) test can detect the severity of sleep disturbance …
disorders. The Polysomnography (PSG) test can detect the severity of sleep disturbance …
A deep learning framework for automatic sleep apnea classification based on empirical mode decomposition derived from single-lead electrocardiogram
F Setiawan, CW Lin - Life, 2022 - mdpi.com
Background: Although polysomnography (PSG) is a gold standard tool for diagnosing sleep
apnea (SA), it can reduce the patient's sleep quality by the placement of several disturbing …
apnea (SA), it can reduce the patient's sleep quality by the placement of several disturbing …
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 …
Detection of apnea events from ECG segments using Fourier decomposition method
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 …
causes low oxygen levels in the blood which may lead to many cardiovascular problems …
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 …
Computerized obstructive sleep apnea diagnosis from single-lead ECG signals using dual-tree complex wavelet transform
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) …
article. Segments of ECG signals are fed into dual-tree complex wavelet transform (DT-CWT) …
Analysis of features extracted from EEG epochs by discrete wavelet decomposition and Hilbert transform for sleep apnea detection
MA Prucnal, AG Polak - … conference of the IEEE engineering in …, 2018 - ieeexplore.ieee.org
Sleep apnea (SA) is one of the most common disorders manifesting during sleep and the
electroencephalo-gram (EEG) belongs to these biomedical signals that change during …
electroencephalo-gram (EEG) belongs to these biomedical signals that change during …
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time–frequency analysis
Sleep apnea is a sleep related pathology in which breathing or respiratory activity of an
individual is obstructed, resulting in variations in the cardio-pulmonary (CP) activity. The …
individual is obstructed, resulting in variations in the cardio-pulmonary (CP) activity. The …
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 …
Recognition of patient groups with sleep related disorders using bio-signal processing and deep learning
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments.
Polysomnography (PSG) has long been used for detection of various sleep disorders. In this …
Polysomnography (PSG) has long been used for detection of various sleep disorders. In this …