Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
Deep recurrent neural networks for automatic detection of sleep apnea from single channel respiration signals
Sleep apnea is a common sleep disorder that causes repeated breathing interruption during
sleep. The performance of automated apnea detection methods based on respiratory …
sleep. The performance of automated apnea detection methods based on respiratory …
Deep learning in automatic sleep staging with a single channel electroencephalography
M Fu, Y Wang, Z Chen, J Li, F Xu, X Liu… - Frontiers in Physiology, 2021 - frontiersin.org
This study centers on automatic sleep staging with a single channel
electroencephalography (EEG), with some significant findings for sleep staging. In this study …
electroencephalography (EEG), with some significant findings for sleep staging. In this study …
A wearable breath sensor based on fiber-tip microcantilever
Respiration rate is an essential vital sign that requires monitoring under various conditions,
including in strong electromagnetic environments such as in magnetic resonance imaging …
including in strong electromagnetic environments such as in magnetic resonance imaging …
Pulse oximetry: The working principle, signal formation, and applications
Pulse oximeters are routinely used in various medical-grade and consumer-grade
applications. They can be used to estimate, for example, blood oxygen saturation …
applications. They can be used to estimate, for example, blood oxygen saturation …
Gaussian mixture models for detecting sleep apnea events using single oronasal airflow record
Sleep apnea is a common sleep-related disorder that significantly affects the population. It is
characterized by repeated breathing interruption during sleep. Such events can induce …
characterized by repeated breathing interruption during sleep. Such events can induce …
Algorithmic detection of sleep-disordered breathing using respiratory signals: a systematic review
L Yang, Z Ding, J Zhou, S Zhang, Q Wang… - Physiological …, 2024 - iopscience.iop.org
Background and Objective: Sleep-disordered breathing (SDB) poses health risks linked to
hypertension, cardiovascular disease, and diabetes. However, the time-consuming and …
hypertension, cardiovascular disease, and diabetes. However, the time-consuming and …
Data-driven prediction for COVID-19 severity in hospitalized patients
AA Alrajhi, OA Alswailem, G Wali, K Alnafee… - International journal of …, 2022 - mdpi.com
Clinicians urgently need reliable and stable tools to predict the severity of COVID-19
infection for hospitalized patients to enhance the utilization of hospital resources and …
infection for hospitalized patients to enhance the utilization of hospital resources and …
Detection of sleep apnea from single-channel electroencephalogram (EEG) using an explainable convolutional neural network (CNN)
Sleep apnea (SA) is a common disorder involving the cessation of breathing during sleep. It
can cause daytime hypersomnia, accidents, and, if allowed to progress, serious, chronic …
can cause daytime hypersomnia, accidents, and, if allowed to progress, serious, chronic …
Combining heart rate variability and oximetry to improve apneic event screening in non-desaturating patients
S Martín-González, AG Ravelo-García… - Sensors, 2023 - mdpi.com
In this paper, we thoroughly analyze the detection of sleep apnea events in the context of
Obstructive Sleep Apnea (OSA), which is considered a public health problem because of its …
Obstructive Sleep Apnea (OSA), which is considered a public health problem because of its …