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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 106-126 of 2,783 articles

The effects of a sleep robot intervention on sleep, depression and anxiety in adults with insomnia - Study protocol of a randomized waitlist-controlled trial.

Insomnia is a common sleep disorder characterized by difficulties initiating sleep, maintaining slee...

Oct 2021 PMID: 34610481

Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.

Depression symptom heterogeneity limits the identifiability of treatment-response biomarkers. Whethe...

Aug 2021 PMID: 34390089

Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.

Traditional sleep staging with non-overlapping 30-second epochs overlooks multiple sleep-wake transi...

Jul 2021 PMID: 33296317

Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate.

BACKGROUND AND OBJECTIVES: while traditional sleep staging is achieved through the visual - expert-b...

Jul 2021 PMID: 34333204

Machine learning-based preoperative datamining can predict the therapeutic outcome of sleep surgery in OSA subjects.

Increasing recognition of anatomical obstruction has resulted in a large variety of sleep surgeries ...

Jul 2021 PMID: 34290326

AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning.

Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-related breathing disorder. It is c...

Jul 2021 PMID: 34412849

A classification approach to estimating human circadian phase under circadian alignment from actigraphy and photometry data.

The time of dim light melatonin onset (DLMO) is the gold standard for circadian phase assessment in ...

Jun 2021 PMID: 34050968

Machine learning prediction of sleep stages in dairy cows from heart rate and muscle activity measures.

Sleep is important for cow health and shows promise as a tool for assessing welfare, but methods to ...

May 2021 PMID: 34035392

A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data.

Sleep disturbances are common in Alzheimer's disease and other neurodegenerative disorders, and toge...

May 2021 PMID: 34064694

Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.

We investigated the differential spatial covariance pattern of blood oxygen level-dependent (BOLD) r...

Apr 2021 PMID: 33931676

A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network.

Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing during slee...

Apr 2021 PMID: 33901251

Neurology

Browse Specialties

The effects of a sleep robot intervention on sleep, depression and anxiety in adults with insomnia - Study protocol of a randomized waitlist-controlled trial.

Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.

Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.

Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate.

Machine learning-based preoperative datamining can predict the therapeutic outcome of sleep surgery in OSA subjects.

AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning.

A classification approach to estimating human circadian phase under circadian alignment from actigraphy and photometry data.

Machine learning prediction of sleep stages in dairy cows from heart rate and muscle activity measures.

A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data.

Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.

A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network.

A deep cascaded segmentation of obstructive sleep apnea-relevant organs from sagittal spine MRI.

Screening of sleep apnea based on heart rate variability and long short-term memory.

Deep Neural Network Sleep Scoring Using Combined Motion and Heart Rate Variability Data.

Detection of Snore from OSAHS Patients Based on Deep Learning.

Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor.

Automatic sleep scoring: A deep learning architecture for multi-modality time series.

Sleep stage classification for child patients using DeConvolutional Neural Network.

Photoplethysmographic-based automated sleep-wake classification using a support vector machine.

Greedy based convolutional neural network optimization for detecting apnea.

Predicting polysomnographic severity thresholds in children using machine learning.

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