Neurology

Seizures

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

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Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN.

Brain computer interface (BCI) is a new communication way between man and machine. It identifies men...

Jul 2016 27376723
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal.

OBJECTIVE: This paper describes a data-analytic modeling approach for the prediction of epileptic se...

Jun 2016 27362758
Seizure Forecasting and the Preictal State in Canine Epilepsy.

The ability to predict seizures may enable patients with epilepsy to better manage their medications...

Jun 2016 27464854
Real-time multi-channel monitoring of burst-suppression using neural network technology during pediatric status epilepticus treatment.

OBJECTIVE: To develop a real-time monitoring system that has the potential to guide the titration of...

Jun 2016 27417058
Statistical Performance Analysis of Data-Driven Neural Models.

Data-driven model-based analysis of electrophysiological data is an emerging technique for understan...

Jun 2016 27776437
Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization.

Support vector machines are powerful tools used to solve the small sample and nonlinear classificati...

May 2016 27313656
Validation of a novel classification model of psychogenic nonepileptic seizures by video-EEG analysis and a machine learning approach.

The aim of this study was to validate a novel classification for the diagnosis of PNESs. Fifty-five ...

May 2016 27208925
Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap, and Ensemble SVMs.

The identification of the temporal variations in human operator cognitive task-load (CTL) is crucial...

May 2016 27164601
Mapping dynamical properties of cortical microcircuits using robotized TMS and EEG: Towards functional cytoarchitectonics.

Brain dynamics at rest depend on the large-scale interactions between oscillating cortical microcirc...

May 2016 27153976
Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI.

Extreme learning machine (ELM) is an effective machine learning technique with simple theory and fas...

Apr 2016 27099159
Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.

Effective common spatial pattern (CSP) feature extraction for motor imagery (MI) electroencephalogra...

Apr 2016 27377661
An EEG-Based Fuzzy Probability Model for Early Diagnosis of Alzheimer's Disease.

Alzheimer's disease is a degenerative brain disease that results in cardinal memory deterioration an...

Apr 2016 27059738
Pattern recognition for electroencephalographic signals based on continuous neural networks.

This study reports the design and implementation of a pattern recognition algorithm to classify elec...

Apr 2016 27131469
Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.

Automated seizure detection is a valuable asset to health professionals, which makes adequate treatm...

Mar 2016 27032931
Classifying Response Correctness across Different Task Sets: A Machine Learning Approach.

Erroneous behavior usually elicits a distinct pattern in neural waveforms. In particular, inspection...

Mar 2016 27032108
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization.

Electroencephalography (EEG) headsets are the most commonly used sensing devices for brain-computer ...

Mar 2016 27008670
Genes with high penetrance for syndromic and non-syndromic autism typically function within the nucleus and regulate gene expression.

BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidi...

Mar 2016 26985359
Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition.

Ventricular tachycardia (VT) and ventricular fibrillation (VF) are shockable ventricular cardiac ail...

Jan 2016 26798076
Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement.

Although rehabilitation robotics seems to be a promising therapy in the rehabilitation of the upper ...

Jan 2016 27057546
A neural-based vocoder implementation for evaluating cochlear implant coding strategies.

Most simulations of cochlear implant (CI) coding strategies rely on standard vocoders that are based...

Jan 2016 26775182
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