Neurology

Seizures

Latest AI and machine learning research in seizures for healthcare professionals.

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Showing 1639-1659 of 4,541 articles
Deep Learning Approach for Epileptic Focus Localization.

The task of epileptic focus localization receives great attention due to its role in an effective ep...

Dec 2019 31796417
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.

A deep learning classifier for detecting seizures in neonates is proposed. This architecture is desi...

Nov 2019 31821947
Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.

OBJECTIVE: Delay to resective epilepsy surgery results in avoidable disease burden and increased ris...

Nov 2019 31784992
Automated detection of hippocampal sclerosis using clinically empirical and radiomics features.

OBJECTIVE: Temporal lobe epilepsy is a common form of epilepsy that might be amenable to surgery. Ho...

Nov 2019 31769021
Use of deep learning to detect personalized spatial-frequency abnormalities in EEGs of children with ADHD.

OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent neurobehavio...

Nov 2019 31398717
Semi-supervised Training Data Selection Improves Seizure Forecasting in Canines with Epilepsy.

OBJECTIVE: Conventional selection of pre-ictal EEG epochs for seizure prediction algorithm training ...

Nov 2019 32863855
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks.

For a brain-computer interface (BCI) system, a calibration procedure is required for each individual...

Nov 2019 31725394
Automated detection of focal cortical dysplasia using a deep convolutional neural network.

Focal cortical dysplasia (FCD) is one of the commonest epileptogenic lesions, and is related to malf...

Nov 2019 31812131
Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.

OBJECTIVE: Develop a high-performing algorithm to detect mesial temporal lobe (mTL) epileptiform dis...

Nov 2019 31760212
Predicting individual decision-making responses based on single-trial EEG.

Decision-making plays an essential role in the interpersonal interactions and cognitive processing o...

Nov 2019 31698078
A Multi-Column CNN Model for Emotion Recognition from EEG Signals.

We present a multi-column CNN-based model for emotion recognition from EEG signals. Recently, a deep...

Oct 2019 31683608
A hierarchical sequential neural network with feature fusion for sleep staging based on EOG and RR signals.

OBJECTIVE: Currently, the automatic sleep staging methods mainly face two problems: the first proble...

Oct 2019 31394522
Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum.

OBJECTIVE: The aim of this study was to evaluate the effect of electroencephalographic (EEG) volume ...

Oct 2019 31470433
Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis.

The present study developed a feature selection (FS)-based decision support system using the electro...

Oct 2019 31731060
Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization.

OBJECTIVE: Convolutional neural networks (CNNs) have proven successful as function approximators and...

Oct 2019 31416059
An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data.

In recent years, affective computing has been actively researched to provide a higher level of emoti...

Oct 2019 31635194
Spiking Neural Networks applied to the classification of motor tasks in EEG signals.

Motivated by the recent progress of Spiking Neural Network (SNN) models in pattern recognition, we r...

Oct 2019 31677441
Optimal selection of SOP and SPH using fuzzy inference system for on-line epileptic seizure prediction based on EEG phase synchronization.

Living conditions of patients with refractory epilepsy will be significantly improved by a successfu...

Oct 2019 31617156
Automatic Seizure Detection Based on S-Transform and Deep Convolutional Neural Network.

Automatic seizure detection is significant for the diagnosis of epilepsy and reducing the massive wo...

Sep 2019 31564174
A strategy combining intrinsic time-scale decomposition and a feedforward neural network for automatic seizure detection.

UNLABELLED: Epilepsy is a common neurological disorder which can occur in people of all ages globall...

Sep 2019 31443095
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