AIMC Topic: Sleep

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Automatic Sleep Stage Classification using Marginal Hilbert Spectrum Features and a Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
In this paper, we propose a novel method of automatic sleep stage classification based on single-channel electroencephalography (EEG). First, we use marginal Hilbert spectrum (MHS) to depict time-frequency domain features of five sleep stages of 30-s...
Sleep Stages Humans Neural Networks, Computer Electroencephalography Sleep
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Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Sleep disorders have become more common due to the modern lifestyle and stress. The most severe case of sleep disorders called apnea is characterized by a complete breaking block, leading to awakening and subsequent sleep disturbances. The automatic ...
Machine Learning Sleep Polysomnography Neural Networks, Computer Arousal
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Predicting Age with Deep Neural Networks from Polysomnograms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
The aim of this study was to design a new deep learning framework for end-to-end processing of polysomnograms. This framework can be trained to analyze whole-night polysomnograms without the limitations of and bias towards clinical scoring guidelines...
Attention Sleep Polysomnography Neural Networks, Computer Deep Learning
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Predicting Deep Hypnotic State From Sleep Brain Rhythms Using Deep Learning: A Data-Repurposing Approach.

Anesthesia and analgesia May 1, 2020
BACKGROUND: Brain monitors tracking quantitative brain activities from electroencephalogram (EEG) to predict hypnotic levels have been proposed as a labor-saving alternative to behavioral assessments. Expensive clinical trials are required to validat...
Humans Data Analysis Brain Male Middle Aged Deep Learning Female Aged Adult Brain Waves Electroencephalography Dexmedetomidine Sleep Hypnotics and Sedatives Predictive Value of Tests
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Artificial intelligence in sleep medicine: background and implications for clinicians.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Apr 15, 2020
Polysomnography remains the cornerstone of objective testing in sleep medicine and results in massive amounts of electrophysiological data, which is well-suited for analysis with artificial intelligence (AI)-based tools. Combined with other sources o...
Delivery of Health Care Physicians Sleep Humans Artificial Intelligence
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Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Apr 15, 2020
Sleep medicine is well positioned to benefit from advances that use big data to create artificially intelligent computer programs. One obvious initial application in the sleep disorders center is the assisted (or enhanced) scoring of sleep and associ...
Sleep Wake Disorders Academies and Institutes Humans Artificial Intelligence United States Sleep Polysomnography
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Multidimensional Sleep and Mortality in Older Adults: A Machine-Learning Comparison With Other Risk Factors.

The journals of gerontology. Series A, Biological sciences and medical sciences Nov 13, 2019
BACKGROUND: Sleep characteristics related to duration, timing, continuity, and sleepiness are associated with mortality in older adults, but rarely considered in health recommendations. We applied machine learning to: (i) establish the predictive abi...
Humans Male Cardiovascular Diseases Cause of Death Self Report Survival Analysis Risk Factors Sleep Machine Learning Aged Female Aged, 80 and over
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Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness.

International journal of sports physiology and performance Sep 1, 2019
PURPOSE: The influence of preceding load and future perceived wellness of professional soccer players is unexamined. This paper simultaneously evaluates the external load (EL) and internal load (IL) for different time frames in combination with prese...
Accelerometry Fatigue Soccer Myalgia Sleep Affect Physical Conditioning, Human Health Status Athletes Humans Machine Learning Geographic Information Systems Young Adult Forecasting Stress, Psychological Adult Models, Theoretical Male
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A Vision-based System for Breathing Disorder Identification: A Deep Learning Perspective.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Recent breakthroughs in computer vision offer an exciting avenue to develop new remote, and non-intrusive patient monitoring techniques. A very challenging topic to address is the automated recognition of breathing disorders during sleep. Due to its ...
Sleep Respiration Humans Deep Learning
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Automatic Detection of Atrial Fibrillation from Ballistocardiogram (BCG) Using Wavelet Features and Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
This paper presents an unobtrusive method for automatic detection of atrial fibrillation (AF) from single-channel ballistocardiogram (BCG) recordings during sleep. We developed a remote data acquisition system that measures BCG signals through an ele...
Wavelet Analysis Machine Learning Ballistocardiography Algorithms Humans Monitoring, Physiologic Atrial Fibrillation Sleep
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