Artificial intelligence models for the automation of standard diagnostics in sleep medicine—a systematic review
M Alattar, A Govind, S Mainali - Bioengineering, 2024 - mdpi.com
Sleep disorders, prevalent in the general population, present significant health challenges.
The current diagnostic approach, based on a manual analysis of overnight polysomnograms …
The current diagnostic approach, based on a manual analysis of overnight polysomnograms …
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 …
[HTML][HTML] Predictive data analytics in telecare and telehealth: systematic scoping review
E Anderson, M Lennon, K Kavanagh, N Weir… - Online Journal of …, 2024 - ojphi.jmir.org
Background Telecare and telehealth are important care-at-home services used to support
individuals to live more independently at home. Historically, these technologies have …
individuals to live more independently at home. Historically, these technologies have …
Personalized transfer learning for single-lead ecg-based sleep apnea detection: exploring the label mapping length and transfer strategy using hybrid transformer …
Objective: Automatic sleep apnea (SA) detection based on deep learning (DL) and single-
lead electrocardiogram (ECG) has been extensively studied. We aim to explore the impact of …
lead electrocardiogram (ECG) has been extensively studied. We aim to explore the impact of …
Time-hybrid OSAformer (THO): A hybrid temporal sequence transformer for accurate detection of obstructive sleep apnea via single-lead ECG signals
Abstract Background and Objective Obstructive Sleep Apnea (OSA) is among the most sleep-
related breathing disorders, capable of causing severe neurological and cardiovascular …
related breathing disorders, capable of causing severe neurological and cardiovascular …
Artificial Intelligence for Diagnosis of Obstructive Sleep Apnea
J May, RG Malkani - Current Pulmonology Reports, 2024 - Springer
Abstract Purpose of Review This review focuses on the different methodologies and artificial
intelligence (AI) technologies being utilized to improve rapid diagnosis of sleep disordered …
intelligence (AI) technologies being utilized to improve rapid diagnosis of sleep disordered …
Sleep Apnea Detection with Neural Networks
L Ochagavia, LA Ferreyra, RA Veiga… - 2024 IEEE Biennial …, 2024 - ieeexplore.ieee.org
This work presents a system for detecting sleep apnea using data from a portable polygraph
device, enabling studies to be conducted at the home of the patient. The system implements …
device, enabling studies to be conducted at the home of the patient. The system implements …
心拍変動解析とニューラルネットワークを用いた睡眠時無呼吸症候群スクリーニングAI の開発
角幸頼， 藤原幸一， 岩崎絢子， 尾関祐二… - … 知能学会全国大会論文集 …, 2023 - jstage.jst.go.jp
抄録 睡眠時無呼吸症候群 (sleep apnea syndrome: SAS) は, 睡眠中の無呼吸または低呼吸など
呼吸イベントにより, 眠気や倦怠感が引き起こされる疾患である. SAS は, 冠動脈疾患 …
呼吸イベントにより, 眠気や倦怠感が引き起こされる疾患である. SAS は, 冠動脈疾患 …