Neurology

Seizures

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

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Showing 2584-2604 of 4,550 articles
Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury.

Machine learning and deep learning algorithms have paved the way for improved analysis of biomedical...

Jul 2022 36085737
A streamable large-scale clinical EEG dataset for Deep Learning.

Deep Learning has revolutionized various fields, including Computer Vision, Natural Language Process...

Jul 2022 36085766
A Pruned Deep Learning Approach for Classification of Motor Imagery Electroencephalography Signals.

The Deep Learning (DL) approach has been gaining much popularity in recent years in the development ...

Jul 2022 36085842
A Deep Learning Framework Based on Dynamic Channel Selection for Early Classification of Left and Right Hand Motor Imagery Tasks.

Ideal brain-computer interfaces (BCIs) need to be efficient and accurate, demanding for classifiers ...

Jul 2022 36085892
A Cross-modality Deep Learning Method for Measuring Decision Confidence from Eye Movement Signals.

Electroencephalography (EEG) signals can effectively measure the level of human decision confidence....

Jul 2022 36086116
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG.

In recent years, neuroscientists have been interested to the development of brain-computer interface...

Jul 2022 36086170
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals.

Graph neural networks (GNN) are an emerging framework in the deep learning community. In most GNN ap...

Jul 2022 36086201
A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNs.

Recent years have shown a growth in the application of deep learning architectures such as convoluti...

Jul 2022 36086296
Classification of Seizure Termination Patterns using Deep Learning on intracranial EEG.

Seizure termination has received significantly less attention than initiation and propagation and co...

Jul 2022 36086368
Comparing the Usability of Alternative EEG Devices to Traditional Electrode Caps for SSVEP-BCI Controlled Assistive Robots.

Despite having the potential to improve the lives of severely paralyzed users, non-invasive Brain Co...

Jul 2022 36176154
Classifying Numbers from EEG Data - Which Neural Network Architecture Performs Best?

This paper presents a comparison of deep learning models for classifying P300 events, i.e., event-re...

May 2022 35575857
[Epilepsy detection and analysis method for specific patient based on data augmentation and deep learning].

In recent years, epileptic seizure detection based on electroencephalogram (EEG) has attracted the w...

Apr 2022 35523550
Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing.

OBJECTIVE: Seizure frequency and seizure freedom are among the most important outcome measures for p...

Apr 2022 35190834
Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection.

Stress has become a dangerous health problem in our life, especially in student education journey. A...

Jan 2022 35164456
Deep learning-based EEG analysis: investigating P3 ERP components.

The neural processing of incoming stimuli can be analysed from the electroencephalogram (EEG) throug...

Dec 2021 34997705
[The accuracy and influencing factors of sleep staging based on single-channel EEG via a deep neural network].

To investigate theaccuracy of artificial intelligence sleep staging model in patients with habitual...

Dec 2021 34963212
Application of Machine Learning to Sleep Stage Classification.

Sleep studies are imperative to recapitulate phenotypes associated with sleep loss and uncover mecha...

Dec 2021 36313065
Insights of 3D Input CNN in EEG-based Emotion Recognition.

Electroencephalogram (EEG) signals have shown to be a good source of information for emotion recogni...

Nov 2021 34891274
Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning.

Traumatic brain injury (TBI) is a sudden injury that causes damage to the brain. TBI can have wide-r...

Nov 2021 34891296
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity.

Machine learning methods, such as deep learning, show promising results in the medical domain. Howev...

Nov 2021 34891321
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