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 1681-1701 of 4,541 articles

A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled Environments.

In this letter, we propose two novel methods for four-class motor imagery (MI) classification using ...

Aug 2019 31393827

Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram.

The electroencephalogram (EEG) is a cornerstone of neurophysiological research and clinical neurolog...

Aug 2019 31388101

Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network.

Epilepsy seizure prediction paves the way of timely warning for patients to take more active and eff...

Aug 2019 31395568

Reachability Analysis of Neural Masses and Seizure Control Based on Combination Convolutional Neural Network.

Epileptic seizures arise from synchronous firing of multiple spatially separated neural masses; ther...

Aug 2019 31576767

Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning.

Imbalance data classification is a challenging task in automatic seizure detection from electroencep...

Jul 2019 31505978

Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury.

OBJECTIVE: Electroencephalogram (EEG) reactivity is a robust predictor of neurological recovery afte...

Jul 2019 31419742

Intracortical neural activity distal to seizure-onset-areas predicts human focal seizures.

The apparent unpredictability of epileptic seizures has a major impact in the quality of life of peo...

Jul 2019 31329587

Is it possible to detect cerebral dominance via EEG signals by using deep learning?

Each brain hemisphere is dominant for certain functions such as speech. The determination of speech ...

Jul 2019 31443748

Efficient Epileptic Seizure Prediction Based on Deep Learning.

Epilepsy is one of the world's most common neurological diseases. Early prediction of the incoming s...

Jul 2019 31331897

Depression recognition using machine learning methods with different feature generation strategies.

The diagnosis of depression almost exclusively depends on doctor-patient communication and scale ana...

Jul 2019 31606115

Correlation-based channel selection and regularized feature optimization for MI-based BCI.

Multi-channel EEG data are usually necessary for spatial pattern identification in motor imagery (MI...

Jul 2019 31326660

A fast machine learning approach to facilitate the detection of interictal epileptiform discharges in the scalp electroencephalogram.

BACKGROUND: Finding interictal epileptiform discharges (IEDs) in the EEG is a part of diagnosing epi...

Jul 2019 31310822

The "MS-ROM/IFAST" Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of Accuracy.

. In a previous study, we showed a new EEG processing methodology called Multi-Scale Ranked Organizi...

Jul 2019 31296052

Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals.

There have been different efforts to predict epileptic seizures and most of them are based on the an...

Jul 2019 31323603

Identifying signal-dependent information about the preictal state: A comparison across ECoG, EEG and EKG using deep learning.

BACKGROUND: The inability to reliably assess seizure risk is a major burden for epilepsy patients an...

Jul 2019 31300348

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