Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review
Sleep apnea (SA) is a common sleep disorder that is not easy to detect. Recent studies have
highlighted ECG analysis as an effective method of diagnosing SA. Because the changes …
highlighted ECG analysis as an effective method of diagnosing SA. Because the changes …
A wearable device for at-home obstructive sleep apnea assessment: State-of-the-art and research challenges
NT Tran, HN Tran, AT Mai - Frontiers in neurology, 2023 - frontiersin.org
In the last 3 years, almost all medical resources have been reserved for the screening and
treatment of patients with coronavirus disease (COVID-19). Due to a shortage of medical …
treatment of patients with coronavirus disease (COVID-19). Due to a shortage of medical …
Detection of sleep apnea using deep neural networks and single-lead ECG signals
Sleep apnea causes frequent cessation of breathing during sleep. Feature extraction
approaches play a key role in the performance of apnea detection algorithms that use single …
approaches play a key role in the performance of apnea detection algorithms that use single …
A spatio-temporal learning-based model for sleep apnea detection using single-lead ECG signals
J Chen, M Shen, W Ma, W Zheng - Frontiers in Neuroscience, 2022 - frontiersin.org
Sleep apnea (SA) is a common chronic sleep breathing disorder, which would cause stroke,
cognitive decline, cardiovascular disease, or even death. The SA symptoms often manifest …
cognitive decline, cardiovascular disease, or even death. The SA symptoms often manifest …
[HTML][HTML] DCDA-Net: dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms
Obstructive sleep apnea (OSA) is a breathing-related chronic disease in which the soft
palate and tongue collapse and block the upper airway for at least 10 s during sleep. It can …
palate and tongue collapse and block the upper airway for at least 10 s during sleep. It can …
Machine learning based severity classification of obstructive sleep apnea patients using awake EEG
Obstructive sleep apnea (OSA) is one of the most widespread breathing-based sleep
disorders. Previous studies reported daytime sleepiness, mental fatigue, and cognitive …
disorders. Previous studies reported daytime sleepiness, mental fatigue, and cognitive …
Obstructive sleep apnea detection using optimized Bi-LSTM with random forest based exhaustive feature selector
M Kemidi, DR Marur, CVK Reddy - Multimedia Tools and Applications, 2024 - Springer
The diagnosis of sleep disorders like obstructive sleep apnea (OSA) is one of the most
common types of sleep disorder, which requires the identification of the phases of sleep that …
common types of sleep disorder, which requires the identification of the phases of sleep that …
OPEN ACCESS EDITED BY
N Chirakalwasan, S Duong-Quy, AT Mai… - Sleep Disorders and …, 2023 - books.google.com
Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repeated
interrupted upper airflow during sleep. Previous studies have reported that sleep disorders …
interrupted upper airflow during sleep. Previous studies have reported that sleep disorders …
A Sleep Apnea Detection Methodology Based on SE-ResNeXt Model Using Single-Lead ECG
Sleep apnea (SA) is considered one of the most dangerous sleep disorders. That happens
when a person is sleeping, his or her breathing repeatedly stops and starts. In order to …
when a person is sleeping, his or her breathing repeatedly stops and starts. In order to …
Sleep Apnoea Detection with Smart Internet of Things Technology
RASA Barika - 2024 - shura.shu.ac.uk
Sleep apnoea (SA) is a hazardous condition characterized by interrupted breathing during
sleep. This prevalent medical issue affects individuals of all ages, potentially leading to …
sleep. This prevalent medical issue affects individuals of all ages, potentially leading to …