Seizures

Seizures

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

4,541 articles

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

Showing 1912-1932 of 4,541 articles

Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review.

Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in h...

Jan 2017 28068295

EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.

Electroencephalography (EEG) has been widely utilized to measure the depth of anaesthesia (DOA) duri...

Dec 2016 27995430

Metrics of brain network architecture capture the impact of disease in children with epilepsy.

BACKGROUND AND OBJECTIVE: Epilepsy is associated with alterations in the structural framework of the...

Dec 2016 28003958

A novel deep learning approach for classification of EEG motor imagery signals.

OBJECTIVE: Signal classification is an important issue in brain computer interface (BCI) systems. De...

Nov 2016 27900952

EEG and fMRI agree: Mental arithmetic is the easiest form of imagery to detect.

fMRI and EEG during mental imagery provide alternative methods of detecting awareness in patients wi...

Nov 2016 27855346

Quantitative EEG Evaluation During Robot-Assisted Foot Movement.

Passiveand imagined limbmovements induce changes in cerebral oscillatory activity. Central modulator...

Nov 2016 27845668

Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification.

Motor imagery electroencephalography (EEG) has been successfully used in locomotor rehabilitation pr...

Nov 2016 27891256

An EEG-based machine learning method to screen alcohol use disorder.

Screening alcohol use disorder (AUD) patients has been challenging due to the subjectivity involved ...

Oct 2016 28348647

Correlated EEG Signals Simulation Based on Artificial Neural Networks.

In recent years, simulation of the human electroencephalogram (EEG) data found its important role in...

Sep 2016 27873552

A Realistic Seizure Prediction Study Based on Multiclass SVM.

A patient-specific algorithm, for epileptic seizure prediction, based on multiclass support-vector m...

Sep 2016 27873554

LMD Based Features for the Automatic Seizure Detection of EEG Signals Using SVM.

Achieving the goal of detecting seizure activity automatically using electroencephalogram (EEG) sign...

Sep 2016 27662677

A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy.

This study introduces a novel learning algorithm for spiking neurons, called CCDS, which is able to ...

Sep 2016 27785934

Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG.

Over the past decade, with the development of machine learning, discrete wavelet transform (DWT) has...

Aug 2016 28113594

Robust Wavelet Stabilized 'Footprints of Uncertainty' for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia.

Currently, there are no developed methods to detect sharp wave transients that exist in the latent p...

Aug 2016 27760476

Neurology

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Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review.

EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.

Metrics of brain network architecture capture the impact of disease in children with epilepsy.

A novel deep learning approach for classification of EEG motor imagery signals.

EEG and fMRI agree: Mental arithmetic is the easiest form of imagery to detect.

Quantitative EEG Evaluation During Robot-Assisted Foot Movement.

Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification.

An EEG-based machine learning method to screen alcohol use disorder.

Correlated EEG Signals Simulation Based on Artificial Neural Networks.

A Realistic Seizure Prediction Study Based on Multiclass SVM.

LMD Based Features for the Automatic Seizure Detection of EEG Signals Using SVM.

A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy.

Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG.

Robust Wavelet Stabilized 'Footprints of Uncertainty' for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia.

A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.

Detecting epileptic seizures with electroencephalogram via a context-learning model.

Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators.

Machine-learning-based diagnosis of schizophrenia using combined sensor-level and source-level EEG features.

Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features.

Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices.

Assessing the user experience of older adults using a neural network trained to recognize emotions from brain signals.

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