AIMC Topic: Sleep Apnea, Obstructive

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Deep learning technique to detect craniofacial anatomical abnormalities concentrated on middle and anterior of face in patients with sleep apnea.

Sleep medicine Sep 24, 2023
OBJECTIVES: The aim of this study is to propose a deep learning-based model using craniofacial photographs for automatic obstructive sleep apnea (OSA) detection and to perform design explainability tests to investigate important craniofacial regions ...
Humans Sleep Apnea, Obstructive Face Craniofacial Abnormalities Deep Learning Sleep Apnea Syndromes Reproducibility of Results
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Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry.

Nature communications Aug 12, 2023
Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence, although diagnosis remains a challenge. Existing home sleep tests may provide acceptable diagnosis performance but have shown several limitations. In this retrospect...
Sleep Apnea, Obstructive Oximetry Comorbidity Deep Learning Humans Retrospective Studies
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Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine-learning and bag-of-features framework.

Journal of sleep research Jul 4, 2023
Obstructive sleep apnea (OSA) has a heavy health-related burden on patients and the healthcare system. Continuous positive airway pressure (CPAP) is effective in treating OSA, but adherence to it is often inadequate. A promising solution is to detect...
Retrospective Studies Female Aged Machine Learning Algorithms Humans Sleep Apnea, Obstructive Polysomnography Middle Aged Adult Continuous Positive Airway Pressure Electrocardiography Male Support Vector Machine
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Belun Ring (Belun Sleep System BLS-100): Deep learning-facilitated wearable enables obstructive sleep apnea detection, apnea severity categorization, and sleep stage classification in patients suspected of obstructive sleep apnea.

Sleep health Jun 26, 2023
GOAL AND AIMS: Our objective was to evaluate the performance of Belun Ring with second-generation deep learning algorithms in obstructive sleep apnea (OSA) detection, OSA severity categorization, and sleep stage classification.
Sleep Apnea, Obstructive Sleep Sleep Stages Deep Learning Wearable Electronic Devices Humans
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Self-helped detection of obstructive sleep apnea based on automated facial recognition and machine learning.

Sleep & breathing = Schlaf & Atmung Jun 6, 2023
PURPOSE: The diagnosis of obstructive sleep apnea (OSA) relies on time-consuming and complicated procedures which are not always readily available and may delay diagnosis. With the widespread use of artificial intelligence, we presumed that the combi...
Sleep Apnea, Obstructive Automated Facial Recognition Polysomnography Surveys and Questionnaires Mass Screening Humans Artificial Intelligence Female Male Machine Learning
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Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea.

Sensors (Basel, Switzerland) May 12, 2023
An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of concern for the healthcare industry. Polysomnography is recommended by health experts to detect obstructive sleep apnea. The patient is paired up wit...
Sleep Deep Learning Humans Sleep Apnea, Obstructive Algorithms Reproducibility of Results
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A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data.

Singapore medical journal May 2, 2023
INTRODUCTION: Obstructive sleep apnoea (OSA) is a serious but underdiagnosed condition. Demand for the gold standard diagnostic polysomnogram (PSG) far exceeds its availability. More efficient diagnostic methods are needed, even in tertiary settings....
Machine Learning Anthropometry Middle Aged Algorithms Sensitivity and Specificity Demography ROC Curve Predictive Value of Tests Sleep Apnea, Obstructive Aged Humans Male Oximetry Female Adult Neural Networks, Computer Polysomnography
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A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection.

IEEE transactions on bio-medical engineering Apr 20, 2023
OBJECTIVE: Obstructive sleep apnea (OSA) is diagnosed using the apnea-hypopnea index (AHI), which is the average number of respiratory events per hour of sleep. Recently, machine learning algorithms for automatic AHI assessment have been developed, b...
Deep Learning Sleep Apnea, Obstructive Sleep Humans Polysomnography Sleep Stages
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The role of artificial intelligence in the treatment of obstructive sleep apnea.

Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale Feb 7, 2023
BACKGROUND: The first-line and most common treatment for obstructive sleep apnea is nasal continuous positive airway pressure, which serves as a pneumatic splint to stabilize the upper airway and is effective when used with appropriate adherence. Con...
Continuous Positive Airway Pressure Artificial Intelligence Humans Sleep Apnea, Obstructive
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Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning.

Sleep medicine Dec 20, 2022
BACKGROUND: Treatment of obstructive sleep apnea is crucial for long term health and reduced economic burden. For those considered for surgery, drug-induced sleep endoscopy (DISE) is a method to characterize location and pattern of sleep-related uppe...
Oropharynx Airway Obstruction Deep Learning Humans Sleep Apnea, Obstructive Endoscopy Sleep
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