Neurology

Seizures

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

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Predicting task-general mind-wandering with EEG.

Mind-wandering refers to the process of thinking task-unrelated thoughts while performing a task. Th...

Aug 2019 30850931
Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph.

The steady state motion visual evoked potential (SSMVEP)-based brain computer interface (BCI), which...

Jul 2019 31370406
Estimation of brain connectivity through Artificial Neural Networks.

Among different methods available for estimating brain connectivity from electroencephalographic sig...

Jul 2019 31945978
Signal2Image Modules in Deep Neural Networks for EEG Classification.

Deep learning has revolutionized computer vision utilizing the increased availability of big data an...

Jul 2019 31945994
EEG-Based Emotion Recognition with Similarity Learning Network.

Emotion recognition is an important field of research in Affective Computing (AC), and the EEG signa...

Jul 2019 31946110
Classification of Perceived Human Stress using Physiological Signals.

In this paper, we present an experimental study for the classification of perceived human stress usi...

Jul 2019 31946118
Detection of Epileptic Seizures using Unsupervised Learning Techniques for Feature Extraction.

Automatic epileptic seizure prediction from EEG (electroencephalogram) data is a challenging problem...

Jul 2019 31946378
Epileptic States Recognition Using Transfer Learning.

Automatic recognition of electroencephalogram (EEG) signals plays a major role in epilepsy diagnosis...

Jul 2019 31946414
A convolutional neural network based framework for classification of seizure types.

Epileptic seizures are caused by a disturbance in the electrical activity of the brain and classifie...

Jul 2019 31946416
Novel Automatic Epilepsy Detection Method Multi-weight Transition Network.

The automatic diagnosis of epilepsy using Electroencephalogram (EEG) signals had always been an impo...

Jul 2019 31946419
Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control.

Brain-computer interface (BCI) is an important tool for rehabilitation and control of an external de...

Jul 2019 31946523
Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks.

The reliable classification of Electroencephalography (EEG) signals is a crucial step towards making...

Jul 2019 31946530
Multimodal Emotion Recognition from Eye Image, Eye Movement and EEG Using Deep Neural Networks.

In consideration of the complexity of recording electroencephalography(EEG), some researchers are tr...

Jul 2019 31946536
Deep Learning of Motor Imagery EEG Classification for Brain-Computer Interface Illiterate Subject.

BCI illiterate subject is defined as the subject who cannot achieve accuracy higher than 70%. BCI il...

Jul 2019 31946540
Classification of Movement Direction From Electroencephalogram During Working Memory Time.

When humans perform cognitive tasks, it is necessary to hold information temporarily. This is done b...

Jul 2019 31946545
Probabilistic prediction of Epileptic Seizures using SVM.

In this paper, an algorithm based on the linear Support Vector Machine (SVM) tool was proposed to cl...

Jul 2019 31946619
3D Convolutional Neural Networks for Event-Related Potential detection.

Deep learning techniques have recently been successful in the classification of brain evoked respons...

Jul 2019 31946786
Comparison of Extreme Learning Machine and K-Nearest Neighbour Performance in Classifying EEG Signal of Normal, Poor and Capable Dyslexic Children.

Dyslexia is a specific learning difficulty associated with brain capability in processing numbers an...

Jul 2019 31946868
EEG Signals Classification Using Machine Learning for The Identification and Diagnosis of Schizophrenia.

This paper presents the design of a machine learning-based classifier for the differentiation betwee...

Jul 2019 31946870
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