Neurology

Seizures

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

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Developing a Three- to Six-State EEG-Based Brain-Computer Interface for a Virtual Robotic Manipulator Control.

OBJECTIVE: We develop an electroencephalography (EEG)-based noninvasive brain-computer interface (BC...

Aug 2018 30130168
Robot-guided pediatric stereoelectroencephalography: single-institution experience.

OBJECTIVEStereoelectroencephalography (SEEG) has increased in popularity for localization of epilept...

Aug 2018 30117789
Deep learning applied to whole-brain connectome to determine seizure control after epilepsy surgery.

OBJECTIVE: We evaluated whether deep learning applied to whole-brain presurgical structural connecto...

Aug 2018 30098002
High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.

High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising m...

Aug 2018 30158959
Modeling brain dynamic state changes with adaptive mixture independent component analysis.

There is a growing interest in neuroscience in assessing the continuous, endogenous, and nonstationa...

Aug 2018 30086409
A New Approach on HCI Extracting Conscious Jaw Movements Based on EEG Signals Using Machine Learnings.

Machine computer interfaces (MCI) are assistive technologies enabling paralyzed peoples to control a...

Aug 2018 30078146
Machine learning as a new paradigm for characterizing localization and lateralization of neuropsychological test data in temporal lobe epilepsy.

In this study, we employed a kernel support vector machine to predict epilepsy localization and late...

Aug 2018 30082202
A hierarchical semi-supervised extreme learning machine method for EEG recognition.

Feature extraction and classification is a vital part in motor imagery-based brain-computer interfac...

Jul 2018 30054779
A Systematic Review for Human EEG Brain Signals Based Emotion Classification, Feature Extraction, Brain Condition, Group Comparison.

The study of electroencephalography (EEG) signals is not a new topic. However, the analysis of human...

Jul 2018 30043178
Nonlinear effective connectivity measure based on adaptive Neuro Fuzzy Inference System and Granger Causality.

Exploring brain networks is an essential step towards understanding functional organization of the b...

Jul 2018 30010006
Language processing from the perspective of electrical stimulation mapping.

Electrical Stimulation (ES) is a neurostimulation technique that is used to localize language functi...

Jul 2018 29996708
Global temporal lobe asymmetry as a semi-quantitative imaging biomarker for temporal lobe epilepsy lateralization: A machine learning classification study.

OBJECTIVE: The purpose of this study was to evaluate the utility of global semi-quantitative analysi...

Jul 2018 30006642
Machine learning detects EEG microstate alterations in patients living with temporal lobe epilepsy.

PURPOSE: Quasi-stable electrical distribution in EEG called microstates could carry useful informati...

Jul 2018 30044996
Deep learning for detection of focal epileptiform discharges from scalp EEG recordings.

OBJECTIVE: Visual assessment of the EEG still outperforms current computer algorithms in detecting e...

Jul 2018 30025804
Introducing chaos behavior to kernel relevance vector machine (RVM) for four-class EEG classification.

This paper addresses a chaos kernel function for the relevance vector machine (RVM) in EEG signal cl...

Jun 2018 29958301
Transductive Joint-Knowledge-Transfer TSK FS for Recognition of Epileptic EEG Signals.

Intelligent recognition of electroencephalogram (EEG) signals is an important means to detect seizur...

Jun 2018 29994680
Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection.

The aim of this study was to develop methods for detecting the nonstationary periodic characteristic...

Jun 2018 30086662
Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning.

BACKGROUND: Electroencephalography (EEG) invariably contains extra-cranial artifacts that are common...

Jun 2018 29944891
EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces.

OBJECTIVE: Brain-computer interfaces (BCI) enable direct communication with a computer, using neural...

Jun 2018 29932424
Epileptic seizure anticipation and localisation of epileptogenic region using EEG signals.

Electric activity of brain gets disturbed prior to epileptic seizure onset. Early prediction of an u...

May 2018 29798696
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