AIMC Topic: Polysomnography

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Polysomnographic identification of anxiety and depression using deep learning.

Journal of psychiatric research Mar 24, 2022
Anxiety and depression are common psychiatric conditions associated with significant morbidity and healthcare costs. Sleep is an evolutionarily conserved health state. Anxiety and depression have a bidirectional relationship with sleep. This study re...
Humans Depression Polysomnography Sleep Stages Anxiety Deep Learning
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Detecting obstructive sleep apnea by craniofacial image-based deep learning.

Sleep & breathing = Schlaf & Atmung Feb 7, 2022
STUDY OBJECTIVES: This study aimed to develop a deep learning-based model to detect obstructive sleep apnea (OSA) using craniofacial photographs.
Polysomnography Sensitivity and Specificity Humans Deep Learning ROC Curve Sleep Apnea, Obstructive
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Estimation of Apnea-Hypopnea Index Using Deep Learning On 3-D Craniofacial Scans.

IEEE journal of biomedical and health informatics Nov 5, 2021
Obstructive sleep apnea (OSA) is characterized by decreased breathing events that occur through the night, with severity reported as the apnea-hypopnea index (AHI), which is associated with certain craniofacial features. In this study, we used data f...
Sleep Apnea, Obstructive Polysomnography Canada Sleep Apnea Syndromes Humans Deep Learning
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Inter-database validation of a deep learning approach for automatic sleep scoring.

PloS one Aug 16, 2021
STUDY OBJECTIVES: Development of inter-database generalizable sleep staging algorithms represents a challenge due to increased data variability across different datasets. Sharing data between different centers is also a problem due to potential restr...
Polysomnography Deep Learning Sleep Stages Sleep Electroencephalography Humans Neural Networks, Computer Algorithms Databases, Factual
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Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study.

Sensors (Basel, Switzerland) Aug 11, 2021
Sleep Apnea is a breathing disorder occurring during sleep. Older people suffer most from this disease. In-time diagnosis of apnea is needed which can be observed by the application of a proper health monitoring system. In this work, we focus on Obst...
Neural Networks, Computer Aged Humans Sleep Apnea Syndromes Sleep Apnea, Obstructive Polysomnography Deep Learning Electrocardiography
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Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.

IEEE journal of biomedical and health informatics Jul 27, 2021
Traditional sleep staging with non-overlapping 30-second epochs overlooks multiple sleep-wake transitions. We aimed to overcome this by analyzing the sleep architecture in more detail with deep learning methods and hypothesized that the traditional s...
Sleep Stages Deep Learning Sleep Apnea, Obstructive Polysomnography Sleep Deprivation Sleep Humans
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Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate.

Computer methods and programs in biomedicine Jul 21, 2021
BACKGROUND AND OBJECTIVES: while traditional sleep staging is achieved through the visual - expert-based - annotation of a polysomnography, it has the disadvantages of being unpractical and expensive. Alternatives have been developed over the years t...
Sleep Stages Heart Rate Polysomnography Humans Machine Learning
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Digital phenotyping of sleep patterns among heterogenous samples of Latinx adults using unsupervised learning.

Sleep medicine Jul 19, 2021
OBJECTIVE: This study aimed to identify sleep disturbance subtypes ("phenotypes") among Latinx adults based on objective sleep data using a flexible unsupervised machine learning technique.
Aged Young Adult Humans Sleep Actigraphy Adult Middle Aged Polysomnography Cross-Sectional Studies Unsupervised Machine Learning
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AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning.

Artificial intelligence in medicine Jul 2, 2021
Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-related breathing disorder. It is caused by an increased upper airway resistance during sleep, which determines episodes of partial or complete interruption of airflow. The detection an...
Vital Signs Polysomnography Sleep Apnea, Obstructive Humans Deep Learning Sleep
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Automated scoring of pre-REM sleep in mice with deep learning.

Scientific reports Jun 10, 2021
Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accurac...
Deep Learning Mice Algorithms Animals Polysomnography Models, Theoretical Sleep Stages Sleep Sleep, REM
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