[HTML][HTML] 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 …
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 …
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 …
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) …
Sleep–wake stage detection with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea
Sleep staging is an important step in the diagnosis of obstructive sleep apnea (OSA) and
this step is performed by a physician who visually scores the electroencephalography …
this step is performed by a physician who visually scores the electroencephalography …
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry …
Obstructive sleep apnea (OSA) is a common respiratory disorder marked by interruption of
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …
A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
K Li, W Pan, Y Li, Q Jiang, G Liu - Neurocomputing, 2018 - Elsevier
Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder that
potentially threatened people's cardiovascular system. As an alternative to …
potentially threatened people's cardiovascular system. As an alternative to …
[HTML][HTML] Contribution of different subbands of ECG in sleep apnea detection evaluated using filter bank decomposition and a convolutional neural network
CY Yeh, HY Chang, JY Hu, CC Lin - Sensors, 2022 - mdpi.com
A variety of feature extraction and classification approaches have been proposed using
electrocardiogram (ECG) and ECG-derived signals for improving the performance of …
electrocardiogram (ECG) and ECG-derived signals for improving the performance of …
Sleep apnea classification based on respiration signals by using ensemble methods
C Avcı, A Akbaş - Bio-medical materials and engineering, 2015 - content.iospress.com
In this study, an efficient and robust method classifying the minute based occurrence of
sleep apnea is aimed. Three respiration signals obtained from abdominal, chest and nasal …
sleep apnea is aimed. Three respiration signals obtained from abdominal, chest and nasal …
[HTML][HTML] A hybrid feature selection and extraction methods for sleep apnea detection using bio-signals
People with sleep apnea (SA) are at increased risk of having stroke and cardiovascular
diseases. Polysomnography (PSG) is used to detect SA. This paper conducts feature …
diseases. Polysomnography (PSG) is used to detect SA. This paper conducts feature …