Seizures

Seizures

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

3,730 articles

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

Showing 169-189 of 3,730 articles

Unsupervised Domain Adaptation With Synchronized Self-Training for Cross- Domain Motor Imagery Recognition.

Robust decoding performance is essential for the practical deployment of brain-computer interface (B...

May 2025 PMID: 40031262

A Distributed Neural Network Architecture for Dynamic Sensor Selection With Application to Bandwidth-Constrained Body-Sensor Networks.

We propose a dynamic sensor selection approach for deep neural networks (DNNs), which is able to der...

May 2025 PMID: 40031173

AI-driven early diagnosis of specific mental disorders: a comprehensive study.

One of the areas where artificial intelligence (AI) technologies are used is the detection and diagn...

May 2025 PMID: 40330715

Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals.

Epilepsy is one of the most frequently occurring neurological disorders that require early and accur...

May 2025 PMID: 40334975

A Novel 3D Approach with a CNN and Swin Transformer for Decoding EEG-Based Motor Imagery Classification.

Motor imagery (MI) is a crucial research field within the brain-computer interface (BCI) domain. It ...

May 2025 PMID: 40363359

Multi-modal signal integration for enhanced sleep stage classification: Leveraging EOG and 2-channel EEG data with advanced feature extraction.

This paper introduces an innovative approach to sleep stage classification, leveraging a multi-modal...

May 2025 PMID: 40334525

Ensemble Learning-Based Alzheimer's Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images.

Ensemble learning (EL), a machine learning technique that combines the results of multiple learning ...

May 2025 PMID: 40363322

Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data.

Electroencephalography (EEG) is one of the most used techniques to perform diagnosis of epilepsy. Ho...

May 2025 PMID: 40316648

A depression detection approach leveraging transfer learning with single-channel EEG.

Major depressive disorder (MDD) is a widespread mental disorder that affects health. Many methods co...

May 2025 PMID: 40314182

Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification.

The brain signal classification is the basis for the implementation of brain-computer interfaces (BC...

May 2025 PMID: 39133589

Data alignment based adversarial defense benchmark for EEG-based BCIs.

Machine learning has been extensively applied to signal decoding in electroencephalogram (EEG)-based...

May 2025 PMID: 40334321

TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features.

BACKGROUND: Taste perception is the process by which the gustatory system detects and interprets che...

Apr 2025 PMID: 40315923

Neurology

Browse Specialties

Unsupervised Domain Adaptation With Synchronized Self-Training for Cross- Domain Motor Imagery Recognition.

A Distributed Neural Network Architecture for Dynamic Sensor Selection With Application to Bandwidth-Constrained Body-Sensor Networks.

AI-driven early diagnosis of specific mental disorders: a comprehensive study.

Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals.

A Novel 3D Approach with a CNN and Swin Transformer for Decoding EEG-Based Motor Imagery Classification.

Multi-modal signal integration for enhanced sleep stage classification: Leveraging EOG and 2-channel EEG data with advanced feature extraction.

Ensemble Learning-Based Alzheimer's Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images.

Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data.

A depression detection approach leveraging transfer learning with single-channel EEG.

Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification.

Data alignment based adversarial defense benchmark for EEG-based BCIs.

TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features.

Machine learning and clinical EEG data for multiple sclerosis: A systematic review.

SMANet: A Model Combining SincNet, Multi-Branch Spatial-Temporal CNN, and Attention Mechanism for Motor Imagery BCI.

Self-supervised spatial-temporal contrastive network for EEG-based brain network classification.

Interictal network dysfunction and cognitive impairment in epilepsy.

Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction.

Demonstration of impaired facial emotion perception in temporal lobe epilepsy by theta responses in EEG.

Current and Emerging Precision Therapies for Developmental and Epileptic Encephalopathies.

TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments.

FusionXNet: enhancing EEG-based seizure prediction with integrated convolutional and Transformer architectures.

Browse Specialties