Neurology

Seizures

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

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Showing 1975-1995 of 4,541 articles
Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.

Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is inve...

Jun 2015 26093065
EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning.

This paper presents a novel method for feature extraction from electroencephalogram (EEG) signals us...

Jun 2015 26068546
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

The objective of this study is to evaluate machine learning algorithms aimed at predicting surgical ...

Jun 2015 26054876
Grading hypoxic-ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine.

OBJECTIVE: This work presents a novel automated system to classify the severity of hypoxic-ischemic ...

Jun 2015 26093932
Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasia.

Focal cortical dysplasia (FCD) is the most common cause of pediatric epilepsy and the third most com...

May 2015 26037845
A Fuzzy-Based Fusion Method of Multimodal Sensor-Based Measurements for the Quantitative Evaluation of Eye Fatigue on 3D Displays.

With the rapid increase of 3-dimensional (3D) content, considerable research related to the 3D human...

May 2015 25961382
On the proper selection of preictal period for seizure prediction.

Supervised machine learning-based seizure prediction methods consider preictal period as an importan...

May 2015 25944112
A neural network-based optimal spatial filter design method for motor imagery classification.

In this study, a novel spatial filter design method is introduced. Spatial filtering is an important...

May 2015 25933101
Impaired dendritic inhibition leads to epileptic activity in a computer model of CA3.

Temporal lobe epilepsy (TLE) is a common type of epilepsy with hippocampus as the usual site of orig...

Apr 2015 25864919
Monitoring Neuro-Motor Recovery From Stroke With High-Resolution EEG, Robotics and Virtual Reality: A Proof of Concept.

A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute po...

Apr 2015 25910194
Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI.

This paper presents an investigation aimed at drastically reducing the processing burden required by...

Apr 2015 25977685
Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG.

Automatic seizure detection technology is of great significance for long-term electroencephalogram (...

Apr 2015 25986754
Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.

In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroen...

Mar 2015 25773367
Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize ev...

Mar 2015 25775495
RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG.

Learning optimal spatio-temporal filters is a key to feature extraction for single-trial electroence...

Feb 2015 25730834
Automatic detection of sleep apnea based on EEG detrended fluctuation analysis and support vector machine.

Sleep apnea syndrome (SAS) is prevalent in individuals and recently, there are many studies focus on...

Feb 2015 25663167
Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.

Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect aware...

Feb 2015 25738152
Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

Seizures below one minute in duration are difficult to assess correctly using seizure detection algo...

Feb 2015 25651839
Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques.

This paper describes a discrete wavelet transform-based feature extraction scheme for the classifica...

Feb 2015 25649845
Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques.

The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by re...

Jan 2015 25710040
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