AIMC Topic: Sleep
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Automatic detection of cortical arousals in sleep and their contribution to daytime sleepiness.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Apr 2, 2020
OBJECTIVE: Significant interscorer variability is found in manual scoring of arousals in polysomnographic recordings (PSGs). We propose a fully automatic method, the Multimodal Arousal Detector (MAD), for detecting arousals.
Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.
Computers in biology and medicine
Mar 7, 2020
In this work we examine some of the problems associated with the development of machine learning models with the objective to achieve robust generalization capabilities on common-task multiple-database scenarios. Referred to as the "database variabil...
A Deep Learning Approach for Automated Sleep-Wake Scoring in Pre-Clinical Animal Models.
Journal of neuroscience methods
Mar 2, 2020
BACKGROUND: Experimental investigation of sleep-wake dynamics in animals is an important part of pharmaceutical development. Typically, it involves recording of electroencephalogram, electromyogram, locomotor activity, and electrooculogram. Visual id...
Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments.
Breast (Edinburgh, Scotland)
Feb 7, 2020
BACKGROUND: Persistent pain in breast cancer survivors is common. Psychological and sleep-related factors modulate perception, interpretation and coping with pain and may contribute to the clinical phenotype. The present analysis pursued the hypothes...
Design of a deep learning model for automatic scoring of periodic and non-periodic leg movements during sleep validated against multiple human experts.
Sleep medicine
Jan 23, 2020
OBJECTIVE: Currently, manual scoring is the gold standard of leg movement scoring (LMs) and periodic LMs (PLMS) in overnight polysomnography (PSG) studies, which is subject to inter-scorer variability. The objective of this study is to design and val...
Stress among Portuguese Medical Students: the EuStress Solution.
Journal of medical systems
Jan 2, 2020
There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this pa...
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.
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, ...
Male
Humans
Time Factors
Neural Networks, Computer
Electrocardiography
Machine Learning
Databases, Factual
Electroencephalography
Polysomnography
Algorithms
Reproducibility of Results
Signal Processing, Computer-Assisted
Sleep Stages
Sleep Wake Disorders
Adult
Sleep Apnea, Obstructive
Sensitivity and Specificity
Sleep
Calibration
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...
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers.
IEEE journal of biomedical and health informatics
Sep 13, 2019
In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challenging. Although semi-automatic systems to modulate insulin pump delivery, such as low-glucose insulin suspension and the artificial pancreas, are star...
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