AIMC Topic: Polysomnography

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Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning.

IEEE journal of biomedical and health informatics Jan 20, 2020
Sleep apnea is one of the most common sleep-related breathing disorders. It is diagnosed through an overnight sleep study in a specialized sleep clinic. This setup is expensive and the number of beds and staff are limited, leading to a long waiting t...
Sleep Apnea Syndromes Electric Impedance Respiratory Rate Polysomnography Humans Deep Learning
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Automated multi-model deep neural network for sleep stage scoring with unfiltered clinical data.

Sleep & breathing = Schlaf & Atmung Jan 14, 2020
PURPOSE: To develop an automated framework for sleep stage scoring from PSG via a deep neural network.
Humans Neural Networks, Computer Female Aged Deep Learning Sleep Apnea, Obstructive Polysomnography Sleep Stages Young Adult Adult Male Middle Aged
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Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.

IEEE journal of biomedical and health informatics Dec 19, 2019
The identification of sleep stages is essential in the diagnostics of sleep disorders, among which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring of sleep stages is time-consuming, subjective, and costly. To overc...
Humans Male Middle Aged Deep Learning Electroencephalography Neural Networks, Computer Female Aged Adult Sleep Stages Signal Processing, Computer-Assisted Sleep Apnea, Obstructive Polysomnography
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Sleep heart rate variability assists the automatic prediction of long-term cardiovascular outcomes.

Sleep medicine Dec 16, 2019
OBJECTIVE: We aimed to investigate the association between sleep HRV and long-term cardiovascular disease (CVD) outcomes, and further explore whether HRV features can assist the automatic CVD prediction.
Sleep Polysomnography Sleep Wake Disorders Middle Aged Body Mass Index Heart Rate Humans Machine Learning Retrospective Studies Female Risk Factors Male Cardiovascular Diseases
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Revisiting the value of polysomnographic data in insomnia: more than meets the eye.

Sleep medicine Dec 13, 2019
BACKGROUND: Polysomnography (PSG) is not recommended as a diagnostic tool in insomnia. However, this consensual approach might be tempered in the light of two ongoing transformations in sleep research: big data and artificial intelligence (AI).
Sleep Stages Middle Aged Electroencephalography Sleep Initiation and Maintenance Disorders Polysomnography Female Adult Male Humans Artificial Intelligence Algorithms Retrospective Studies
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A hybrid self-attention deep learning framework for multivariate sleep stage classification.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Sleep is a complex and dynamic biological process characterized by different sleep patterns. Comprehensive sleep monitoring and analysis using multivariate polysomnography (PSG) records has achieved significant efforts to prevent sleep-re...
ROC Curve Electroencephalography Databases as Topic Multivariate Analysis Polysomnography Sleep Stages Humans Algorithms Deep Learning
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MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks.

Scientific reports Oct 31, 2019
Automated sleep stage scoring for mice is in high demand for sleep research, since manual scoring requires considerable human expertise and efforts. The existing automated scoring methods do not provide the scoring accuracy required for practical use...
Mice Electroencephalography Polysomnography Neural Networks, Computer Sleep Stages Databases, Factual Animals Male
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Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVE: In recent years, several automatic sleep stage classification methods based on convolutional neural networks (CNN) by learning hierarchical feature representation automatically from raw EEG data have been proposed. However, ...
Sleep Stages Adult Sensitivity and Specificity Humans Sleep Male Algorithms Neural Networks, Computer Time Factors Calibration Electrocardiography Databases, Factual Machine Learning Polysomnography Electroencephalography Reproducibility of Results Sleep Wake Disorders Signal Processing, Computer-Assisted Sleep Apnea, Obstructive
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Gait can reveal sleep quality with machine learning models.

PloS one Sep 25, 2019
Sleep quality is an important health indicator, and the current measurements of sleep rely on questionnaires, polysomnography, etc., which are intrusive, expensive or time consuming. Therefore, a more nonintrusive, inexpensive and convenient method n...
Self Report Young Adult Humans Health Status Indicators Adult Healthy Volunteers Machine Learning Male Female Sleep Gait Polysomnography
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Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol.

BMC psychiatry Sep 7, 2019
BACKGROUND: The screening of digital footprint for clinical purposes relies on the capacity of wearable technologies to collect data and extract relevant information's for patient management. Artificial intelligence (AI) techniques allow processing o...
Suicide, Attempted Surveys and Questionnaires Wearable Electronic Devices Smartphone Randomized Controlled Trials as Topic Telemedicine France Spain Research Design Female Adult Male Humans Polysomnography Artificial Intelligence Ecological Momentary Assessment Appetite
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