Heart rate variability in psychology: A review of HRV indices and an analysis tutorial
The use of heart rate variability (HRV) in research has been greatly popularized over the
past decades due to the ease and affordability of HRV collection, coupled with its clinical …
past decades due to the ease and affordability of HRV collection, coupled with its clinical …
Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective
Background The past few years have seen a rapid emergence of artificial intelligence (AI)-
enabled technology in the field of sleep medicine. AI refers to the capability of computer …
enabled technology in the field of sleep medicine. AI refers to the capability of computer …
An automatic screening approach for obstructive sleep apnea diagnosis based on single-lead electrocardiogram
L Chen, X Zhang, C Song - IEEE transactions on automation …, 2014 - ieeexplore.ieee.org
Traditional approaches for obstructive sleep apnea (OSA) diagnosis are apt to using
multiple channels of physiological signals to detect apnea events by dividing the signals into …
multiple channels of physiological signals to detect apnea events by dividing the signals into …
[Retracted] Development of an IoT‐Based Sleep Apnea Monitoring System for Healthcare Applications
AR Dhruba, KN Alam, MS Khan… - … Methods in Medicine, 2021 - Wiley Online Library
Sleep is an essential and vital element of a person's life and health that helps to refresh and
recharge the mind and body of a person. The quality of sleep is very important in every …
recharge the mind and body of a person. The quality of sleep is very important in every …
Recurrent neural network based classification of ECG signal features for obstruction of sleep apnea detection
This paper introduces an OSA detection method based on Recurrent Neural network. At the
first step, RR interval (time interval from one R wave to the next R wave) is employed to …
first step, RR interval (time interval from one R wave to the next R wave) is employed to …
Detection and classification of obstructive sleep apnea using audio spectrogram analysis
Sleep disorders are steadily increasing in the population and can significantly affect daily
life. Low-cost and noninvasive systems that can assist the diagnostic process will become …
life. Low-cost and noninvasive systems that can assist the diagnostic process will become …
Sleep apnea detection from single-lead ECG using features based on ECG-derived respiration (EDR) signals
Background and objective One of the important applications of non-invasive respiration
monitoring using ECG signal is the detection of obstructive sleep apnea (OSA). ECG-derived …
monitoring using ECG signal is the detection of obstructive sleep apnea (OSA). ECG-derived …
ECG-derived heart rate variability interpolation and 1-D convolutional neural networks for detecting sleep apnea
Feature extraction from ECG-derived heart rate variability signal has shown to be useful in
classifying sleep apnea. In earlier works, time-domain features, frequency-domain features …
classifying sleep apnea. In earlier works, time-domain features, frequency-domain features …
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 …
Electrocardiogram feature selection and performance improvement of sleep stages classification using grid search
Sleep analysis is often used to identify sleep-related human health. In many cases, sleep
disorders could cause a particular disease. One of the approaches to detect sleep disorders …
disorders could cause a particular disease. One of the approaches to detect sleep disorders …