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 1786-1806 of 4,541 articles

The revised Cerebral Recovery Index improves predictions of neurological outcome after cardiac arrest.

OBJECTIVE: Analysis of the electroencephalogram (EEG) background pattern helps predicting neurologic...

Oct 2018 30390546

Therapeutic drug monitoring of levetiracetam in daily clinical practice: high-performance liquid chromatography versus immunoassay.

OBJECTIVES: Although levetiracetam presents an easy dosing and tolerability, therapeutic drug monito...

Oct 2018 32296497

Bispectrum Features and Multilayer Perceptron Classifier to Enhance Seizure Prediction.

The ability to accurately forecast seizures could significantly improve the quality of life of patie...

Oct 2018 30341370

Seizure forecasting using single robust linear feature as correlation vector of seizure-like events in brain slices preparation in vitro.

Epilepsy is a neurological disorder affecting 50 million individuals globally. Modern research has i...

Oct 2018 30332347

Multi-Channel Convolutional Neural Networks Architecture Feeding for Effective EEG Mental Tasks Classification.

Mental tasks classification is increasingly recognized as a major challenge in the field of EEG sign...

Oct 2018 30322205

Automated seizure prediction.

In the past two decades, significant advances have been made on automated electroencephalogram (EEG)...

Oct 2018 30317059

A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.

The positive-unlabeled (PU) classification is a common scenario in real-world applications such as h...

Oct 2018 30307881

Application of identity vectors for EEG classification.

BACKGROUND: Finding an optimal EEG subject verification algorithm is a long standing goal within the...

Sep 2018 30243995

A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multitask Learning Algorithms (OMTL).

Recognizing the factors that cause stress is a crucial step toward early detection of stressors. In ...

Sep 2018 30235150

Identifying Suitable Brain Regions and Trial Size Segmentation for Positive/Negative Emotion Recognition.

The development of suitable EEG-based emotion recognition systems has become a main target in the la...

Sep 2018 30415631

Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings.

OBJECTIVE: We sought to test the performance of three strategies for binary classification (logistic...

Sep 2018 30211695

Sample Entropy on Multidistance Signal Level Difference for Epileptic EEG Classification.

Epilepsy is a disorder of the brain's nerves as a result of excessive brain cell activity. It is gen...

Sep 2018 30279635

A Novel Method of Segmentation and Classification for Meditation in Health Care Systems.

Meditation improves positivity in behavioral as well as psychological changes, which are brought elu...

Sep 2018 30206721

A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications.

Multi-modal bio-sensing has recently been used as effective research tools in affective computing, a...

Sep 2018 30188809

EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis.

Sleep staging is considered as an effective indicator for auxiliary diagnosis of sleep diseases and ...

Sep 2018 30254690

Personalized prediction model for seizure-free epilepsy with levetiracetam therapy: a retrospective data analysis using support vector machine.

AIMS: To predict the probability of a seizure-free (SF) state in patients with epilepsy (PWEs) after...

Sep 2018 30043454

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