The novel approach of temporal dependency complexity analysis of heart rate variability in obstructive sleep apnea
L Tang, G Liu - Computers in Biology and Medicine, 2021 - Elsevier
Obstructive sleep apnea (OSA) is a serious sleep disorder, which leads to changes in
autonomic nerve function and increases the risk of cardiovascular disease. Heart rate …
autonomic nerve function and increases the risk of cardiovascular disease. Heart rate …
Personalized transfer learning for single-lead ecg-based sleep apnea detection: exploring the label mapping length and transfer strategy using hybrid transformer …
Objective: Automatic sleep apnea (SA) detection based on deep learning (DL) and single-
lead electrocardiogram (ECG) has been extensively studied. We aim to explore the impact of …
lead electrocardiogram (ECG) has been extensively studied. We aim to explore the impact of …
On the generalization of sleep apnea detection methods based on heart rate variability and machine learning
Obstructive sleep apnea (OSA) is a respiratory disorder highly correlated with severe
cardiovascular diseases that has unleashed the interest of hundreds of experts aiming to …
cardiovascular diseases that has unleashed the interest of hundreds of experts aiming to …
Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation
During sleep, some people experience breathing difficulties, leading to a condition known
as sleep apnoea, which can result in suffocation. This study focuses on detecting sleep …
as sleep apnoea, which can result in suffocation. This study focuses on detecting sleep …
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 …
ECG Signal modeling using volatility properties: its application in sleep apnea syndrome
M Faal, F Almasganj - Journal of healthcare engineering, 2021 - Wiley Online Library
This study presents and evaluates the mathematical model to estimate the mean and
variance of single‐lead ECG signals in sleep apnea syndrome. Our objective is to use the …
variance of single‐lead ECG signals in sleep apnea syndrome. Our objective is to use the …
Respiratory effort signal based sleep apnea detection system using improved random forest classifier
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 …
and classification of sleep apnea (SA) events using the single-channel abdomen respiratory …
Signal matched multirate filter bank design for optimum coding gain and its application in real-time sleep apnea detection
Various authors have designed multirate filter banks for modeling a given process. The
existing algorithms, however, suffer from some major drawbacks; for example, some of these …
existing algorithms, however, suffer from some major drawbacks; for example, some of these …
Automatic Obstructive Sleep Apnea Identification Using First Order Statistics Features of Electrocardiogram and Machine Learning
Abstract Obstructive Sleep Apnea (OSA), or cessation of breathing during sleep, is caused
by a blocked upper airway. OSA is one of the causes of sudden death caused by heart …
by a blocked upper airway. OSA is one of the causes of sudden death caused by heart …
Artificial intelligence-based obstructive sleep apnea detection using ECG signals
Obstructive sleep apnea (OSA), a prevalent nocturnal breathing disorder, affects more than
a billion people overall. OSA causes frequent disruptions in breathing due to the collapse of …
a billion people overall. OSA causes frequent disruptions in breathing due to the collapse of …