Neurology

Seizures

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

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Prediction of central neuropathic pain in spinal cord injury based on EEG classifier.

OBJECTIVES: To create a classifier based on electroencephalography (EEG) to identify spinal cord inj...

May 2018 29886266
Tensor-driven extraction of developmental features from varying paediatric EEG datasets.

OBJECTIVE: Constant changes in developing children's brains can pose a challenge in EEG dependant te...

May 2018 29781808
A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals.

The electroencephalogram (EEG) is the most prominent means to study epilepsy and capture changes in ...

May 2018 29807250
Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity.

Brain function has been proposed to arise as a result of the coordinated activity between distribute...

May 2018 29938549
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram.

Seizure prediction has attracted growing attention as one of the most challenging predictive data an...

May 2018 29793128
A fresh look at functional link neural network for motor imagery-based brain-computer interface.

BACKGROUND: Artificial neural networks (ANNs) are one of the widely used classifiers in the brain-co...

May 2018 29733940
Automated EEG-based screening of depression using deep convolutional neural network.

In recent years, advanced neurocomputing and machine learning techniques have been used for Electroe...

Apr 2018 29852953
Inferring Clinical Correlations from EEG Reports with Deep Neural Learning.

Successful diagnosis and management of neurological dysfunction relies on proper communication betwe...

Apr 2018 29854143
Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy.

While biomedical ontologies have traditionally been used to guide the identification of concepts or ...

Apr 2018 29854192
Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI.

Although robot technology has been successfully used to empower people who suffer from motor disabil...

Apr 2018 29768990
A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection.

Functional brain network (FBN) has become very popular to analyze the interaction between cortical r...

Apr 2018 29768989
Automated detection of focal cortical dysplasia type II with surface-based magnetic resonance imaging postprocessing and machine learning.

OBJECTIVE: Focal cortical dysplasia (FCD) is a major pathology in patients undergoing surgical resec...

Apr 2018 29637549
Neonatal Seizure Detection Using Deep Convolutional Neural Networks.

Identifying a core set of features is one of the most important steps in the development of an autom...

Apr 2018 29747532
Ongoing brain rhythms shape I-wave properties in a computational model.

BACKGROUND: Responses to transcranial magnetic stimulation (TMS) are notoriously variable. Previous ...

Mar 2018 29615366
Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG.

This paper presents a novel algorithm (CVSTSCSP) for determining discriminative features from an opt...

Mar 2018 29546648
Electroencephalographic derived network differences in Lewy body dementia compared to Alzheimer's disease patients.

Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) require differential management despite...

Mar 2018 29545639
Postoperative seizure outcome-guided machine learning for interictal electrocorticography in neocortical epilepsy.

The objective of this study was to introduce a new machine learning guided by outcome of resective e...

Mar 2018 29513147
Classifying dynamic transitions in high dimensional neural mass models: A random forest approach.

Neural mass models (NMMs) are increasingly used to uncover the large-scale mechanisms of brain rhyth...

Mar 2018 29499044
Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification.

OBJECTIVE: Brain-computer interface (BCI) refers to procedures that link the central nervous system ...

Feb 2018 29446352
Using Dictionary Pair Learning for Seizure Detection.

Automatic seizure detection is extremely important in the monitoring and diagnosis of epilepsy. The ...

Feb 2018 29631505
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions.

In this paper, we present a multimodal emotion recognition framework called EmotionMeter that combin...

Feb 2018 29994384
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