Automatic detection of obstructive sleep apnea events using a deep CNN‐LSTM model
J Zhang, Z Tang, J Gao, L Lin, Z Liu… - Computational …, 2021 - Wiley Online Library
Obstructive sleep apnea (OSA) is a common sleep‐related respiratory disorder. Around the
world, more and more people are suffering from OSA. Because of the limitation of monitor …
world, more and more people are suffering from OSA. Because of the limitation of monitor …
A systematic review of time series classification techniques used in biomedical applications
WK Wang, I Chen, L Hershkovich, J Yang, A Shetty… - Sensors, 2022 - mdpi.com
Background: Digital clinical measures collected via various digital sensing technologies
such as smartphones, smartwatches, wearables, and ingestible and implantable sensors …
such as smartphones, smartwatches, wearables, and ingestible and implantable sensors …
Classification of Obstructive Sleep Apnoea from single-lead ECG signals using convolutional neural and Long Short Term Memory networks
Abstract Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep.
Polysomnography (PSG) is typically used as a reference standard for the diagnosis of OSA …
Polysomnography (PSG) is typically used as a reference standard for the diagnosis of OSA …
Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals
A novel framework for automatic detection of obstructive sleep apnea (OSA) is introduced in
which a symbolic dynamics method, alphabet entropy, along with other well-known features …
which a symbolic dynamics method, alphabet entropy, along with other well-known features …
A hybrid transformer model for obstructive sleep apnea detection based on self-attention mechanism using single-lead ECG
Obstructive sleep apnea (OSA) is a widespread sleep disorder that seriously affects human
health. Detection of OSA with low cost and high accuracy is of great clinical significance …
health. Detection of OSA with low cost and high accuracy is of great clinical significance …
Performance evaluation of the spectral autocorrelation function and autoregressive models for automated sleep apnea detection using single-lead ECG signal
Background and objective: This paper addresses the automated recognition of obstructive
sleep apnea (OSA) from the analysis of single-lead ECG signals. This is one of the most …
sleep apnea (OSA) from the analysis of single-lead ECG signals. This is one of the most …
The predictive role of the upper-airway adipose tissue in the pathogenesis of obstructive sleep apnoea
V Molnár, Z Lakner, A Molnár, DL Tárnoki, ÁD Tárnoki… - Life, 2022 - mdpi.com
Simple Summary Obstructive sleep apnoea (OSA) is an underdiagnosed disorder from
which many patients are suffering, and may lead to severe complications. The adipose …
which many patients are suffering, and may lead to severe complications. The adipose …
RAFNet: Restricted attention fusion network for sleep apnea detection
Sleep apnea (SA) is a common sleep-related breathing disorder, which would lead to
damage of multiple systemic organs or even sudden death. In clinical practice, portable …
damage of multiple systemic organs or even sudden death. In clinical practice, portable …
Semi-supervised learning for low-cost personalized obstructive sleep apnea detection using unsupervised deep learning and single-lead electrocardiogram
Objective: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that
can lead to a wide range of health issues if left untreated. This study aims to address the lack …
can lead to a wide range of health issues if left untreated. This study aims to address the lack …
Automatic seizure detection based on Gray Level Co-occurrence Matrix of STFT imaged-EEG
H Shayeste, BM Asl - Biomedical Signal Processing and Control, 2023 - Elsevier
Epilepsy is a complicated neurological disorder, that features recurrent seizures. During a
seizure, the repetitive action potentials lead to a high-frequency burst, and a hyper …
seizure, the repetitive action potentials lead to a high-frequency burst, and a hyper …