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

Showing 2626-2646 of 4,550 articles

Histograms of Frequency-Intensity Distribution Deep Learning to Predict the Seizure Liability of Drugs in Electroencephalography.

Detection of seizures as well as that of seizure auras is effective in improving the predictive accu...

Aug 2021 34021344

[Using electroencephalogram for emotion recognition based on filter-bank long short-term memory networks].

Emotion plays an important role in people's cognition and communication. By analyzing electroencepha...

Jun 2021 34180189

[Prediction of epilepsy based on common spatial model algorithm and support vector machine double classification].

At present the prediction method of epilepsy patients is very time-consuming and vulnerable to subje...

Feb 2021 33899426

The Human Phenotype Ontology in 2021.

The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehens...

Jan 2021 33264411

A Review of Automated Techniques for Assisting the Early Detection of Alzheimer's Disease with a Focus on EEG.

In this paper, we review state-of-the-art approaches that apply signal processing (SP) and machine l...

Jan 2021 33682717

A deep learning-based algorithm for detection of cortical arousal during sleep.

STUDY OBJECTIVES: The frequency of cortical arousals is an indicator of sleep quality. Additionally,...

Dec 2020 32556242

Voxel-based morphometry analysis and machine learning based classification in pediatric mesial temporal lobe epilepsy with hippocampal sclerosis.

Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is a common type of pediatric epi...

Oct 2020 31250266

The human brain reveals resting state activity patterns that are predictive of biases in attitudes toward robots.

The increasing presence of robots in society necessitates a deeper understanding into what attitudes...

Sep 2020 32999049

[Simultaneous determination of twelve antiepileptic drugs in serum by ultra high performance liquid chromatography-tandem mass spectrometry].

A sensitive, high-throughput method was established for the simultaneous determination of 12 antiepi...

Aug 2020 34213181

Automated human mind reading using EEG signals for seizure detection.

Epilepsy is one of the most occurring neurological disease globally emerged back in 4000 BC. It is a...

Jul 2020 32657667

Partial directed coherence based graph convolutional neural networks for driving fatigue detection.

The mental state of a driver can be accurately and reliably evaluated by detecting the driver's elec...

Jul 2020 32752838

Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach.

Electroencephalography (EEG) is a commonly used method for monitoring brain activity. Automating an ...

Jul 2020 33017939

Deep transfer learning for improving single-EEG arousal detection.

Datasets in sleep science present challenges for machine learning algorithms due to differences in r...

Jul 2020 33017940

Emotion Recognition with Refined Labels for Deep Learning.

The traditional emotion classification framework usually fits all the features segments of the same ...

Jul 2020 33017942

Machine Learning with Imbalanced EEG Datasets using Outlier-based Sampling.

Epilepsy is a neurological disorder which causes seizures in over 65 million people worldwide. Recen...

Jul 2020 33017943

EEG-based Depression Detection Using Convolutional Neural Network with Demographic Attention Mechanism.

Electroencephalography (EEG)-based depression detection has become a hot topic in the development of...

Jul 2020 33017947

Automatic detection of artifacts in EEG by combining deep learning and histogram contour processing.

This paper introduces a simple approach combining deep learning and histogram contour processing for...

Jul 2020 33017949

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

In this paper, we propose a novel method of automatic sleep stage classification based on single-cha...

Jul 2020 33018065

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG.

Deep learning has become popular for automatic sleep stage scoring due to its capability to extract ...

Jul 2020 33018069

Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Early diagnosis and prognosis of babies with signs of hypoxic-ischemic encephalopathy (HIE) is curre...

Jul 2020 33018156

Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG.

Diagnosis of hypoxic-ischemic encephalopathy (HIE) is currently limited and prognostic biological ma...

Jul 2020 33018157