Seizures

Seizures

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

4,526 articles

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

Showing 505-525 of 4,526 articles

Behavioural and EEG correlates of forward and backward priming-An exploratory study.

During affective priming, perception of an emotional "prime stimulus" influences the reaction time t...

May 2025 40338855

Classifying Obsessive-Compulsive Disorder from Resting-State EEG using Convolutional Neural Networks: A Pilot Study.

OBJECTIVE: Classifying obsessive-compulsive disorder (OCD) using brain data remains challenging. Res...

May 2025 40385410

Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization.

Decoding motor imagery (MI) electroencephalogram (EEG) signals in the brain-computer interface (BCI)...

May 2025 40428114

Single-microphone deep envelope separation based auditory attention decoding for competing speech and music.

In this study, we introduce an end-to-end single microphone deep learning system for source separati...

May 2025 40280149

EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models.

In the context of lifestyle changes, stress and other environmental factors have resulted in the sud...

May 2025 40335527

Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques.

This study aims to deepen the understanding and classification of tinnitus through a comprehensive a...

May 2025 40335585

Event driven neural network on a mixed signal neuromorphic processor for EEG based epileptic seizure detection.

Long-term monitoring of biomedical signals is essential for the modern clinical management of neurol...

May 2025 40335613

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 40031173

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 40031262

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 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 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 40363359

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 40363322

Neurology

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Behavioural and EEG correlates of forward and backward priming-An exploratory study.

Classifying Obsessive-Compulsive Disorder from Resting-State EEG using Convolutional Neural Networks: A Pilot Study.

Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization.

Single-microphone deep envelope separation based auditory attention decoding for competing speech and music.

EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models.

Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques.

Event driven neural network on a mixed signal neuromorphic processor for EEG based epileptic seizure detection.

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

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

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.

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

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

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

Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification.

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

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

Interictal network dysfunction and cognitive impairment in epilepsy.

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.

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