AIMC Topic: Sleep, REM

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Unlocking Dreams and Dreamless Sleep: Machine Learning Classification With Optimal EEG Channels.

BioMed research international Feb 10, 2025
Research suggests that dreams play a role in the regulation of emotional processing and memory consolidation; electroencephalography (EEG) is useful for studying them, but manual annotation is time-consuming and prone to bias. This study was aimed at...
Humans Machine Learning Algorithms Electroencephalography Sleep Sleep, REM Dreams Female Adult Male
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Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 17, 2024
Sleep quality is an essential parameter of a healthy human life, while sleep disorders such as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold-standard is polysomnography, which utilizes an extensive range of var...
Neural Networks, Computer Algorithms Female Humans Deep Learning Healthy Volunteers Wakefulness Young Adult Adult Male Nose Pressure Sleep, REM Polysomnography Sleep Stages
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Rapid eye movement sleep loss associated cytomorphometric changes and neurodegeneration.

Sleep medicine Jul 26, 2023
Rapid eye movement sleep (REMS) is essential for leading normal healthy living at least in higher-order mammals, including humans. In this review, we briefly survey the available literature for evidence linking cytomorphometric changes in the brain d...
Sleep, REM Prazosin Humans Artificial Intelligence Brain Animals Mammals Sleep Deprivation
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Convolutional neural network is a good technique for sleep staging based on HRV: A comparative analysis.

Neuroscience letters Feb 25, 2022
The fluctuation of heart rate is regulated by autonomic nervous system. In human sleep, the autonomic nervous system plays a leading role. Therefore, we can use heart-rate variability (HRV) to stage the sleep process. Based on two independent public ...
Sleep, REM Heart Rate Humans Neural Networks, Computer Sleep Sleep Stages
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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 Models, Theoretical Sleep, REM Algorithms Sleep Animals Polysomnography Sleep Stages
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Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning.

Scientific reports Jul 13, 2018
Narcolepsy is a rare life-long disease that exists in two forms, narcolepsy type-1 (NT1) or type-2 (NT2), but only NT1 is accepted as clearly defined entity. Both types of narcolepsies belong to the group of central hypersomnias (CH), a spectrum of p...
Adult Sleep Latency Male Narcolepsy ROC Curve Humans Polysomnography Databases, Factual Sleep, REM Female Young Adult Data Interpretation, Statistical Datasets as Topic Models, Biological Stochastic Processes Supervised Machine Learning Rare Diseases
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Automatic detection of rapid eye movements (REMs): A machine learning approach.

Journal of neuroscience methods Nov 28, 2015
BACKGROUND: Rapid eye movements (REMs) are a defining feature of REM sleep. The number of discrete REMs over time, or REM density, has been investigated as a marker of clinical psychopathology and memory consolidation. However, human detection of REM...
Adolescent Young Adult Electrooculography Humans Eye Movements Adult Sleep, REM Machine Learning Polysomnography Male Female
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Sleep structure discriminates patients with isolated REM sleep behavior disorder: a deep learning approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Rapid eye movement (REM) sleep behavior disorder (RBD) is a disorder characterized by increased muscle tone and dream-enactment behaviors in REM sleep. In its isolated form (iRBD), it is a prodromal stage of neurodegenerative diseases. Currently, dia...
Polysomnography Sleep, REM Algorithms REM Sleep Behavior Disorder Female Aged Male Middle Aged Deep Learning Humans
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[Identifying Depressive Disorder With Sleep Electroencephalogram Data: A Study Based on Deep Learning].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 1, 2023
OBJECTIVE: To explore the effectiveness of using deep learning network combined Vision Transformer (ViT) and Transformer to identify patients with depressive disorder on the basis of their sleep electroencephalogram (EEG) signals.
Depressive Disorder Sleep Stages Sleep, REM Humans Deep Learning Electroencephalography
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Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
This paper focuses on the REM sleep estimation with bio-vibration data acquired from mattress sensor, and proposes its "correction" method based on Time-Series Confidence (TSC) of the REM sleep prediction calculated by Random Forest (RF) as one of th...
Humans Machine Learning Time Factors Mental Processes Sleep, REM
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