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 …
Application of artificial intelligence in the diagnosis of sleep apnea
G Bazoukis, SC Bollepalli, CT Chung, X Li… - Journal of Clinical …, 2023 - jcsm.aasm.org
Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …
disorders. This review aims to summarize the existing data about the role of ML techniques …
At-home wireless monitoring of acute hemodynamic disturbances to detect sleep apnea and sleep stages via a soft sternal patch
Obstructive sleep apnea (OSA) affects more than 900 million adults globally and can create
serious health complications when untreated; however, 80% of cases remain undiagnosed …
serious health complications when untreated; however, 80% of cases remain undiagnosed …
A single-center validation of the accuracy of a photoplethysmography-based smartwatch for screening obstructive sleep apnea
Y Chen, W Wang, Y Guo, H Zhang… - Nature and Science of …, 2021 - Taylor & Francis
Background Obstructive sleep apnea (OSA), the most common upper-airway disease, is
closely associated with the risk of cardiovascular diseases. However, the early screening of …
closely associated with the risk of cardiovascular diseases. However, the early screening of …
Multitask residual shrinkage convolutional neural network for sleep apnea detection based on wearable bracelet photoplethysmography
Sleep apnea syndrome (SAS) is a common chronic respiratory disorder, which seriously
harms human health. In order to realize the large-scale promotion of SAS detection, the SAS …
harms human health. In order to realize the large-scale promotion of SAS detection, the SAS …
Predictive power of XGBoost_BiLSTM model: a machine-learning approach for accurate sleep apnea detection using electronic health data
Sleep apnea is a common disorder that can cause pauses in breathing and can last from a
few seconds to several minutes, as well as shallow breathing or complete cessation of …
few seconds to several minutes, as well as shallow breathing or complete cessation of …
Recent progress in long-term sleep monitoring technology
J Yin, J Xu, TL Ren - Biosensors, 2023 - mdpi.com
Sleep is an essential physiological activity, accounting for about one-third of our lives, which
significantly impacts our memory, mood, health, and children's growth. Especially after the …
significantly impacts our memory, mood, health, and children's growth. Especially after the …
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 …
Screening for obstructive sleep apnea risk by using machine learning approaches and anthropometric features
Obstructive sleep apnea (OSA) is a global health concern and is typically diagnosed using
in-laboratory polysomnography (PSG). However, PSG is highly time-consuming and labor …
in-laboratory polysomnography (PSG). However, PSG is highly time-consuming and labor …
Robust method for screening sleep apnea with single-lead ecg using deep residual network: evaluation with open database and patch-type wearable device data
This paper proposes a robust method to screen patients with sleep apnea syndrome (SAS)
using a single-lead electrocardiogram (ECG). This method consists of minute-by-minute …
using a single-lead electrocardiogram (ECG). This method consists of minute-by-minute …