Seizures

Seizures

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

4,533 articles

Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 1387-1407 of 4,533 articles

Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface.

The performance of a classifier in a brain-computer interface (BCI) system is highly dependent on th...

Aug 2021 32841127

Deep learning multimodal fNIRS and EEG signals for bimanual grip force decoding.

Non-invasive brain-machine interfaces (BMIs) offer an alternative, safe and accessible way to intera...

Aug 2021 34350839

Fused CNN-LSTM deep learning emotion recognition model using electroencephalography signals.

The traditional machine learning-based emotion recognition models have shown effective performance ...

Aug 2021 34121598

Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data.

Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...

Aug 2021 34425248

Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks.

Tasks which require sustained attention over a lengthy period of time have been a focal point of cog...

Aug 2021 34451059

A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs.

. Single-trial electroencephalography (EEG) classification is of great importance in the rapid seria...

Aug 2021 34284365

Linear and non-linear feature extraction from rat electrocorticograms for seizure detection by support vector machine.

Seizures, the main symptom of epilepsy, are provoked due to a neurological disorder that underlies t...

Aug 2021 34384008

A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources.

In this paper, a hybrid-domain deep learning (DL)-based neural system is proposed to decode hand mov...

Aug 2021 34376121

EEG Channel Correlation Based Model for Emotion Recognition.

Emotion recognition using Artificial Intelligence (AI) is a fundamental prerequisite to improve Huma...

Aug 2021 34416570

Machine Learning for personalised stress detection: Inter-individual variability of EEG-ECG markers for acute-stress response.

Stress appears as a response for a broad variety of physiological stimuli. It does vary among indivi...

Aug 2021 34433128

Detection of EEG burst-suppression in neurocritical care patients using an unsupervised machine learning algorithm.

OBJECTIVE: The burst suppression pattern in clinical electroencephalographic (EEG) recordings is an ...

Aug 2021 34454277

Video-Based Detection of Generalized Tonic-Clonic Seizures Using Deep Learning.

Timely detection of seizures is crucial to implement optimal interventions, and may help reduce the ...

Aug 2021 33406048

A deep learning based ensemble learning method for epileptic seizure prediction.

In epilepsy, patients suffer from seizures which cannot be controlled with medicines or surgical tre...

Jul 2021 34364257

Affective Computing on Machine Learning-Based Emotion Recognition Using a Self-Made EEG Device.

In this research, we develop an affective computing method based on machine learning for emotion rec...

Jul 2021 34372370

EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels.

Besides facial or gesture-based emotion recognition, Electroencephalogram (EEG) data have been drawi...

Jul 2021 34372327

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.

Based on the current research on EEG emotion recognition, there are some limitations, such as hand-e...

Jul 2021 33400657

Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy.

BACKGROUND AND PURPOSE: The purpose of the current study is to detect changes of graph-theory-based ...

Jul 2021 34373040

Predicting subclinical psychotic-like experiences on a continuum using machine learning.

Previous studies applying machine learning methods to psychosis have primarily been concerned with t...

Jul 2021 34302968

A deep learning framework with multi-perspective fusion for interictal epileptiform discharges detection in scalp electroencephalogram.

Interictal epileptiform discharges (IEDs) are an important and widely accepted biomarker used in the...

Jul 2021 34157696

Automated Annotation of Epileptiform Burden and Its Association with Outcomes.

OBJECTIVE: This study was undertaken to determine the dose-response relation between epileptiform ac...

Jul 2021 34231244

End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax.

To develop an efficient, embedded electroencephalogram (EEG) channel selection approach for deep neu...

Jul 2021 34225257

Neurology

Browse Categories