Neurology

Seizures

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

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Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification.

Accurate classification of Electroencephalogram (EEG) signals plays an important role in diagnoses o...

Apr 2019 31021801
Classification of epileptic EEG recordings using signal transforms and convolutional neural networks.

This paper describes the analysis of a deep neural network for the classification of epileptic EEG s...

Apr 2019 31055181
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition.

Brain-computer interface (BCI) is a system empowering humans to communicate with or control the outs...

Apr 2019 31021810
Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain.

There has been substantial interest in Mindfulness Training (MT) to understand how it can benefit he...

Apr 2019 31015534
EIQ: EEG based IQ test using wavelet packet transform and hierarchical extreme learning machine.

BACKGROUND: The use of electroencephalography has been perpetually incrementing and has numerous app...

Apr 2019 31022416
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.

Understanding sleep and its perturbation by environment, mutation, or medication remains a central p...

Apr 2019 30998681
Deep-learning for seizure forecasting in canines with epilepsy.

OBJECTIVE: This paper introduces a fully automated, subject-specific deep-learning convolutional neu...

Apr 2019 30959492
On the Vulnerability of CNN Classifiers in EEG-Based BCIs.

Deep learning has been successfully used in numerous applications because of its outstanding perform...

Apr 2019 30951472
DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal.

BACKGROUND: Electroencephalography (EEG) monitors brain activity during sleep and is used to identif...

Apr 2019 30946878
Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface.

BACKGROUND: Recently, hybrid brain-computer interfaces (BCIs) combining more than one modality have ...

Apr 2019 30946880
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition.

Electroencephalogram (EEG) has been widely used in emotion recognition due to its high temporal reso...

Mar 2019 30932860
Latent Phase Detection of Hypoxic-Ischemic Spike Transients in the EEG of Preterm Fetal Sheep Using Reverse Biorthogonal Wavelets & Fuzzy Classifier.

Hypoxic-ischemic (HI) studies in preterms lack reliable prognostic biomarkers for diagnostic tests o...

Mar 2019 31184228
EEG characteristics of children with attention-deficit/hyperactivity disorder.

The electroencephalogram (EEG) is an informative neuroimaging tool for studying attention-deficit/hy...

Mar 2019 30926547
Patient-Specific Seizure Detection Method using Hybrid Classifier with Optimized Electrodes.

In this paper the EEG signal is analyzed by reconstructing the time series EEG signal in High dimens...

Mar 2019 30915585
A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation.

Artificial intelligence algorithms have been used in a wide range of applications in clinical aided ...

Mar 2019 30911929
Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data.

OBJECTIVE: Major depression disorder (MDD) is one of the most prevalent mental disorders worldwide. ...

Mar 2019 30925266
Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition.

Practical motor imagery electroencephalogram (EEG) data-based applications are limited by the waste ...

Mar 2019 30883278
Human electrocortical dynamics while stepping over obstacles.

To better understand human brain dynamics during visually guided locomotion, we developed a method o...

Mar 2019 30886202
On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications.

Brain-computer interfaces (BCI) harnessing steady state visual evoked potentials (SSVEPs) manipulate...

Mar 2019 30872236
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