Deep learning in physiological signal data: A survey
Deep Learning (DL), a successful promising approach for discriminative and generative
tasks, has recently proved its high potential in 2D medical imaging analysis; however …
tasks, has recently proved its high potential in 2D medical imaging analysis; however …
A systematic review of detecting sleep apnea using deep learning
Sleep apnea is a sleep related disorder that significantly affects the population.
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …
Sleep apnea detection from single-lead ECG: A comprehensive analysis of machine learning and deep learning algorithms
M Bahrami, M Forouzanfar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from
stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep …
stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep …
Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram
U Erdenebayar, YJ Kim, JU Park, EY Joo… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective This study demonstrates deep learning approaches with
an aim to find the optimal method to automatically detect sleep apnea (SA) events from an …
an aim to find the optimal method to automatically detect sleep apnea (SA) events from an …
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 …
End-to-end deep learning architecture for continuous blood pressure estimation using attention mechanism
Blood pressure (BP) is a vital sign that provides fundamental health information regarding
patients. Continuous BP monitoring is important for patients with hypertension. Various …
patients. Continuous BP monitoring is important for patients with hypertension. Various …
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 …
Machine learning in biomedical engineering
Machine learning, which was first paraphrased by Arthur Samuel, can be defined as a field
of computer science that gives computers the ability to learn without being explicitly …
of computer science that gives computers the ability to learn without being explicitly …
Optimization of cnn using modified honey badger algorithm for sleep apnea detection
Sleep Apnea (SA) is the most prevalent breathing sleep problem, and if left untreated, it can
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …
A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …
artificial intelligence application tasks such as image processing, computer vision, object …