An experimental review on obstructive sleep apnea detection based on heart rate variability and machine learning techniques
D Padovano, A Martinez-Rodrigo… - … conference on e …, 2020 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a respiratory syndrome of high incidence in the general
population and correlated with some cardiovascular diseases. Several techniques have …
population and correlated with some cardiovascular diseases. Several techniques have …
[HTML][HTML] Contact-free detection of obstructive sleep apnea based on wavelet information entropy spectrum using bio-radar
F Qi, C Li, S Wang, H Zhang, J Wang, G Lu - Entropy, 2016 - mdpi.com
Judgment and early danger warning of obstructive sleep apnea (OSA) is meaningful to the
diagnosis of sleep illness. This paper proposed a novel method based on wavelet …
diagnosis of sleep illness. This paper proposed a novel method based on wavelet …
An efficient method to detect sleep hypopnea-apnea events based on EEG signals
Hypopnea refers to the state in which insufficient alveolar ventilation during night sleep
decreases the respiratory airflow by more than 50% of the airflow. However, sleep apnea is …
decreases the respiratory airflow by more than 50% of the airflow. However, sleep apnea is …
End-to end decision support system for sleep apnea detection and Apnea-Hypopnea Index calculation using hybrid feature vector and Machine learning
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 …
and directly affects people's lives. Detection of sleep apnea is crucial for assessing sleep …
Efficient obstructive sleep apnea classification based on EEG signals
WS Almuhammadi, KAI Aboalayon… - 2015 Long Island …, 2015 - ieeexplore.ieee.org
Nowadays, analyzing EEG signals has made it easy to diagnose many sleep-related
breathing disorders such as Obstructive Sleep Apnea (OSA), which is a potentially serious …
breathing disorders such as Obstructive Sleep Apnea (OSA), which is a potentially serious …
Computer-aided sleep apnea diagnosis from single-lead electrocardiogram using dual tree complex wavelet transform and spectral features
AR Hassan, MA Haque - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
In this work, Dual Tree Complex Wavelet Transform (DT-CWT) is introduced to devise an
effective feature extraction scheme for physiological signal analysis. Unlike discrete wavelet …
effective feature extraction scheme for physiological signal analysis. Unlike discrete wavelet …
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals
CSSS Viswabhargav, RK Tripathy… - Computers in biology and …, 2019 - Elsevier
Sleep is a prominent physiological activity in our daily life. Sleep apnea is the category of
sleep disorder during which the breathing of the person diminishes causing the alternation …
sleep disorder during which the breathing of the person diminishes causing the alternation …
SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals
Sleep apnea is a common symptomatic disease affecting nearly 1 billion people around the
world. The gold standard approach for determining the severity of sleep apnea is full-night …
world. The gold standard approach for determining the severity of sleep apnea is full-night …
Obstructive sleep apnea detection using spectrum and bispectrum analysis of single-lead ECG signal
A novel method for the automatic diagnosis of obstructive sleep apnea (OSA) from an
electrocardiogram (ECG) is presented. This method aims to detect OSA utilizing exclusively …
electrocardiogram (ECG) is presented. This method aims to detect OSA utilizing exclusively …
Low cost, high precision system for diagnosis of central sleep apnea disorder
A Sundar, C Das - 2015 international conference on industrial …, 2015 - ieeexplore.ieee.org
Central Sleep apnea is a serious condition that affects many individuals and is associated
with severe health complications. During sleep, people with this condition stop breathing …
with severe health complications. During sleep, people with this condition stop breathing …