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 1198-1218 of 4,533 articles

Emotion recognition while applying cosmetic cream using deep learning from EEG data; cross-subject analysis.

We report a deep learning-based emotion recognition method using EEG data collected while applying c...

Nov 2022 36355917

Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.

BACKGROUND: Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 mill...

Nov 2022 36352381

The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data.

Bipolar disorder (BD) is a mental disorder characterized by depressive and manic or hypomanic episo...

Nov 2022 36341750

M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity.

Emotion recognition, or the ability of computers to interpret people's emotional states, is a very a...

Nov 2022 36366164

Being watched by a humanoid robot and a human: Effects on affect-related psychophysiological responses.

Eye contact with a humanoid robot has been shown to evoke similar affect and affiliation related psy...

Nov 2022 36334795

A review of critical challenges in MI-BCI: From conventional to deep learning methods.

Brain-computer interfaces (BCIs) have achieved significant success in controlling external devices t...

Oct 2022 36349568

Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: From the perspective of event related potentials and deep learning.

Alzheimer's disease (AD), a neurodegenerative disorder characterized by progressive cognitive declin...

Oct 2022 36309183

Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information.

Efficient processing of large-scale time-series data is an intricate problem in machine learning. Co...

Oct 2022 33900927

Ensemble Support Vector Recurrent Neural Network for Brain Signal Detection.

The brain-computer interface (BCI) P300 speller analyzes the P300 signals from the brain to achieve ...

Oct 2022 34097619

Deep Learning-Based Detection of Epileptiform Discharges for Self-Limited Epilepsy With Centrotemporal Spikes.

Centrotemporal spike-waves (CTSWs) are typical interictal epileptiform discharges (IEDs) observed in...

Oct 2022 36260578

Graph Theoretical Analysis of EEG Functional Connectivity Patterns and Fusion with Physiological Signals for Emotion Recognition.

Emotion recognition is a key attribute for realizing advances in human-computer interaction, especia...

Oct 2022 36365896

Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects.

With modern population growth and an increase in the average lifespan, more patients are becoming af...

Oct 2022 36365809

Completion of disconnective surgery for refractory epilepsy in pediatric patients using robot-assisted MRI-guided laser interstitial thermal therapy.

OBJECTIVE: Since 2007, the authors have performed 34 hemispherotomies and 17 posterior quadrant disc...

Oct 2022 36272116

Seizure Types Classification by Generating Input Images With in-Depth Features From Decomposed EEG Signals for Deep Learning Pipeline.

Electroencephalogram (EEG) based seizure types classification has not been addressed well, compared ...

Oct 2022 35294366

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Emotion recognition while applying cosmetic cream using deep learning from EEG data; cross-subject analysis.

Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.

The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data.

M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity.

Being watched by a humanoid robot and a human: Effects on affect-related psychophysiological responses.

A review of critical challenges in MI-BCI: From conventional to deep learning methods.

Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: From the perspective of event related potentials and deep learning.

Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information.

Ensemble Support Vector Recurrent Neural Network for Brain Signal Detection.

Deep Learning-Based Detection of Epileptiform Discharges for Self-Limited Epilepsy With Centrotemporal Spikes.

Graph Theoretical Analysis of EEG Functional Connectivity Patterns and Fusion with Physiological Signals for Emotion Recognition.

Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects.

Completion of disconnective surgery for refractory epilepsy in pediatric patients using robot-assisted MRI-guided laser interstitial thermal therapy.

A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data.

Deep learning for automated epileptiform discharge detection from scalp EEG: A systematic review.

Detecting the locus of auditory attention based on the spectro-spatial-temporal analysis of EEG.

Automated Analysis of Sleep Study Parameters Using Signal Processing and Artificial Intelligence.

Entropy-Based Emotion Recognition from Multichannel EEG Signals Using Artificial Neural Network.

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks.

Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis.

Seizure Types Classification by Generating Input Images With in-Depth Features From Decomposed EEG Signals for Deep Learning Pipeline.

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