A review of obstructive sleep apnea detection approaches
Sleep disorders are a common health condition that can affect numerous aspects of life.
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
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 slee**. This reduction in …
apnea may last for a few seconds and happen for many while slee**. This reduction in …
[Retracted] A Comprehensive Review: Computational Models for Obstructive Sleep Apnea Detection in Biomedical Applications
Obstructive sleep apnea (OSA) is a sleep disorder characterized by periodic episodes of
partial or complete upper airway obstruction caused by narrowing or collapse of the …
partial or complete upper airway obstruction caused by narrowing or collapse of the …
Assessment of mandibular movement monitoring with machine learning analysis for the diagnosis of obstructive sleep apnea
JL Pépin, C Letesson, NN Le-Dong… - JAMA network …, 2020 - jamanetwork.com
Importance Given the high prevalence of obstructive sleep apnea (OSA), there is a need for
simpler and automated diagnostic approaches. Objective To evaluate whether mandibular …
simpler and automated diagnostic approaches. Objective To evaluate whether mandibular …
Sleep apnea detection based on thoracic and abdominal movement signals of wearable piezoelectric bands
YY Lin, HT Wu, CA Hsu, PC Huang… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Physiologically, the thoracic (THO) and abdominal (ABD) movement signals, captured using
wearable piezoelectric bands, provide information about various types of apnea, including …
wearable piezoelectric bands, provide information about various types of apnea, including …
A practical review and taxonomy of fuzzy expert systems: methods and applications
Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …
Matrix profile XIII: Time series snippets: A new primitive for time series data mining
Perhaps the most basic query made by a data analyst confronting a new data source is"
Show me some representative/typical data." Answering this question is trivial in many …
Show me some representative/typical data." Answering this question is trivial in many …
Sleep apnea: a review of diagnostic sensors, algorithms, and therapies
While public awareness of sleep related disorders is growing, sleep apnea syndrome (SAS)
remains a public health and economic challenge. Over the last two decades, extensive …
remains a public health and economic challenge. Over the last two decades, extensive …
Machine learning-based automatic detection of central sleep apnea events from a pressure sensitive mat
Polysomnography (PSG) is the standard test for diagnosing sleep apnea. However, the
approach is obtrusive, time-consuming, and with limited access for patients in need of sleep …
approach is obtrusive, time-consuming, and with limited access for patients in need of sleep …
[HTML][HTML] Paediatric sleep diagnostics in the 21st century: the era of “sleep-omics”?
H Vennard, E Buchan, P Davies… - European …, 2024 - publications.ersnet.org
Paediatric sleep diagnostics is performed using complex multichannel tests in specialised
centres, limiting access and availability and resulting in delayed diagnosis and …
centres, limiting access and availability and resulting in delayed diagnosis and …