Neurology

Seizures

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

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Showing 1765-1785 of 4,541 articles
Parameters of stochastic models for electroencephalogram data as biomarkers for child's neurodevelopment after cerebral malaria.

The objective of this study was to test statistical features from the electroencephalogram (EEG) rec...

Dec 2018 30637185
From research to clinic: A sensor reduction method for high-density EEG neurofeedback systems.

OBJECTIVE: To accurately deliver a source-estimated neurofeedback (NF) signal developed on a 128-sen...

Dec 2018 30669011
Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework.

Fusing multichannel neurophysiological signals to recognize human emotion states becomes increasingl...

Dec 2018 30647727
Automatic seizure detection using three-dimensional CNN based on multi-channel EEG.

BACKGROUND: Automated seizure detection from clinical EEG data can reduce the diagnosis time and fac...

Dec 2018 30526571
Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment.

Mental workload assessment is essential for maintaining human health and preventing accidents. Most ...

Dec 2018 30507536
High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology.

Technologies for mapping the spatial and temporal patterns of neural activity have advanced our unde...

Dec 2018 30510233
Prediction error connectivity: A new method for EEG state analysis.

Several models have been proposed to explain brain regional and interregional communication, the maj...

Dec 2018 30508680
What does a pain 'biomarker' mean and can a machine be taught to measure pain?

Artificial intelligence allows machines to predict human faculties such as image and voice recogniti...

Nov 2018 30503919
Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.

OBJECTIVE: Despite the effective application of deep learning (DL) in brain-computer interface (BCI)...

Nov 2018 30524056
Computer Aided Diagnosis System for multiple sclerosis disease based on phase to amplitude coupling in covert visual attention.

BACKGROUND AND OBJECTIVE: Computer Aided Diagnosis (CAD) techniques have widely been used in researc...

Nov 2018 30638593
A multi-context learning approach for EEG epileptic seizure detection.

BACKGROUND: Epilepsy is a neurological disease characterized by unprovoked seizures in the brain. Th...

Nov 2018 30463546
Detecting abnormal electroencephalograms using deep convolutional networks.

OBJECTIVES: Electroencephalography (EEG) is a central part of the medical evaluation for patients wi...

Nov 2018 30481649
Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals.

OBJECTIVE: Automatic detection of epileptic seizures based on deep learning methods received much at...

Nov 2018 30472579
Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy.

Quantification of sleep is important for the diagnosis of sleep disorders and sleep research. Howeve...

Nov 2018 30421469
Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims data.

Patients with drug-resistant epilepsy (DRE) are at high risk of morbidity and mortality, yet their r...

Nov 2018 30412924
Coarse-to-fine information integration in human vision.

Coarse-to-fine theories of vision propose that the coarse information carried by the low spatial fre...

Nov 2018 30403971
Effects of Jobelyn on Isoniazid-Induced Seizures, Biomarkers of Oxidative Stress and Glutamate Decarboxylase Activity in Mice.

INTRODUCTION: Isoniazid-induced seizure, often described as Status Epilepticus (SE), is an emergency...

Nov 2018 30719253
EEG may serve as a biomarker in Huntington's disease using machine learning automatic classification.

Reliable markers measuring disease progression in Huntington's disease (HD), before and after diseas...

Oct 2018 30382138
Identification of Hidden Sources by Estimating Instantaneous Causality in High-Dimensional Biomedical Time Series.

The study of connectivity patterns of a system's variables, such as multi-channel electroencephalogr...

Oct 2018 30563386
Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.

Classification of motor imagery (MI) electroencephalogram (EEG) plays a vital role in brain-computer...

Oct 2018 30510569
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