AIMC Topic: Sleep

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Simultaneous Sleep Stage and Sleep Disorder Detection from Multimodal Sensors Using Deep Learning.

Sensors (Basel, Switzerland) Mar 26, 2023
Sleep scoring involves the inspection of multimodal recordings of sleep data to detect potential sleep disorders. Given that symptoms of sleep disorders may be correlated with specific sleep stages, the diagnosis is typically supported by the simulta...
Sleep Wake Disorders Sleep Stages Humans Electroencephalography Deep Learning Sleep
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Decoding behavior from global cerebrovascular activity using neural networks.

Scientific reports Mar 2, 2023
Functional Ultrasound (fUS) provides spatial and temporal frames of the vascular activity in the brain with high resolution and sensitivity in behaving animals. The large amount of resulting data is underused at present due to the lack of appropriate...
Neural Networks, Computer Brain Rats Sleep Learning Animals
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Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models.

Sensors (Basel, Switzerland) Feb 23, 2023
Electroencephalography (EEG) is often used to evaluate several types of neurological brain disorders because of its noninvasive and high temporal resolution. In contrast to electrocardiography (ECG), EEG can be uncomfortable and inconvenient for pati...
Electrocardiography Electroencephalography Seizures Sleep Humans Neural Networks, Computer
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In-Bed Posture Classification Using Deep Neural Network.

Sensors (Basel, Switzerland) Feb 22, 2023
In-bed posture monitoring has become a prevalent area of research to help minimize the risk of pressure sore development and to increase sleep quality. This paper proposed 2D and 3D Convolutional Neural Networks, which are trained on images and video...
Posture Sleep Movement Pressure Ulcer Neural Networks, Computer Hospitals Humans
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Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study.

Journal of medical Internet research Feb 10, 2023
BACKGROUND: Most existing automated sleep staging methods rely on multimodal data, and scoring a specific epoch requires not only the current epoch but also a sequence of consecutive epochs that precede and follow the epoch.
Algorithms Electroencephalography Humans Neural Networks, Computer Sleep Sleep Stages
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SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography.

IEEE journal of biomedical and health informatics Feb 3, 2023
Sleep staging is an essential component in the diagnosis of sleep disorders and management of sleep health. Sleep is traditionally measured in a clinical setting and requires a labor-intensive labeling process. We hypothesize that it is possible to p...
Humans Algorithms Sleep Sleep Stages Deep Learning Photoplethysmography
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Computational models of Idling brain activity for memory processing.

Neuroscience research Dec 30, 2022
Studying the underlying neural mechanisms of cognitive functions of the brain is one of the central questions in modern biology. Moreover, it has significantly impacted the development of novel technologies in artificial intelligence. Spontaneous act...
Animals Memory Brain Sleep Artificial Intelligence Computer Simulation
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A Flexible Deep Learning Architecture for Temporal Sleep Stage Classification Using Accelerometry and Photoplethysmography.

IEEE transactions on bio-medical engineering Dec 26, 2022
Wrist-worn consumer sleep technologies (CST) that contain accelerometers (ACC) and photoplethysmography (PPG) are increasingly common and hold great potential to function as out-of-clinic (OOC) sleep monitoring systems. However, very few validation s...
Deep Learning Accelerometry Photoplethysmography Sleep Stages Heart Rate Sleep
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Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation.

Journal of biomedical informatics Dec 22, 2022
Human behaviour is a dense longitudinal multi-featured measure that directly impacts the health of individuals in the short and long terms. Therefore, issues usually emerge from the insistence on performing risky behaviours, such as smoking or eating...
Deep Learning Wearable Electronic Devices Mental Health Exercise Humans Sleep
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Classification at the accuracy limit: facing the problem of data ambiguity.

Scientific reports Dec 21, 2022
Data classification, the process of analyzing data and organizing it into categories or clusters, is a fundamental computing task of natural and artificial information processing systems. Both supervised classification and unsupervised clustering wor...
Sleep Neural Networks, Computer Bayes Theorem Algorithms Sleep Stages Humans
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