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

Showing 757-777 of 4,533 articles

Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification.

Recently, motor imagery (MI) electroencephalography (EEG) classification techniques using deep learn...

Oct 2024 37379192

CNN-Informer: A hybrid deep learning model for seizure detection on long-term EEG.

Timely detecting epileptic seizures can significantly reduce accidental injuries of epilepsy patient...

Oct 2024 39488107

Deep Autoencoder for Real-Time Single-Channel EEG Cleaning and Its Smartphone Implementation Using TensorFlow Lite With Hardware/Software Acceleration.

OBJECTIVE: To remove signal contamination in electroencephalogram (EEG) traces coming from ocular, m...

Oct 2024 38829759

Machine learning localization to identify the epileptogenic side in mesial temporal lobe epilepsy.

BACKGROUND: Mesial temporal sclerosis (MTS) is the most common pathology associated with drug-resist...

Oct 2024 39426692

Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification.

In recent times, Electroencephalography (EEG)-based motor imagery (MI) decoding has garnered signifi...

Oct 2024 39426071

An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning.

Epileptic seizure prediction plays a crucial role in enhancing the quality of life for individuals w...

Oct 2024 39423703

Semiology Extraction and Machine Learning-Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis.

BACKGROUND: Obtaining and describing semiology efficiently and classifying seizure types correctly a...

Oct 2024 39621862

Real-time sub-milliwatt epilepsy detection implemented on a spiking neural network edge inference processor.

Analyzing electroencephalogram (EEG) signals to detect the epileptic seizure status of a subject pre...

Oct 2024 39413626

Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use cases.

Electroencephalography (EEG) is widely used as a non-invasive technique for the diagnosis of several...

Oct 2024 39471577

Adapting Action Recognition Neural Networks for Automated Infantile Spasm Detection.

Infantile spasms are a severe epileptic syndrome characterized by short muscular contractions lastin...

Oct 2024 39356610

Deep Neural Network-Based Empirical Mode Decomposition for Motor Imagery EEG Classification.

Motor imagery refers to the brain's response during the mental simulation of physical activities, wh...

Oct 2024 39037874

A Lightweight Convolutional Neural Network-Reformer Model for Efficient Epileptic Seizure Detection.

A real-time and reliable automatic detection system for epileptic seizures holds significant value i...

Sep 2024 39347621

MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification.

Structural and functional brain networks are generated from two scan sequences of magnetic resonance...

Sep 2024 39369635

Machine-learning-based classification of obstructive sleep apnea using 19-channel sleep EEG data.

OBJECTIVE: This study aimed to investigate the neurophysiological effects of obstructive sleep apnea...

Sep 2024 39368159

Classification of mindfulness experiences from gamma-band effective connectivity: Application of machine-learning algorithms on resting, breathing, and body scan.

BACKGROUND AND OBJECTIVE: Practicing mindfulness is a mental process toward interoceptive awareness,...

Sep 2024 39369588

Restoring of Interhemispheric Symmetry in Patients With Stroke Following Bilateral or Unilateral Robot-Assisted Upper-Limb Rehabilitation: A Pilot Randomized Controlled Trial.

Bilateral robotic rehabilitation has proven helpful in the recovery of upper limb motor function in ...

Sep 2024 39269794

Neurology

Browse Categories

Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification.

CNN-Informer: A hybrid deep learning model for seizure detection on long-term EEG.

Deep Autoencoder for Real-Time Single-Channel EEG Cleaning and Its Smartphone Implementation Using TensorFlow Lite With Hardware/Software Acceleration.

Machine learning localization to identify the epileptogenic side in mesial temporal lobe epilepsy.

Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification.

An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning.

Semiology Extraction and Machine Learning-Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis.

Real-time sub-milliwatt epilepsy detection implemented on a spiking neural network edge inference processor.

Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use cases.

Adapting Action Recognition Neural Networks for Automated Infantile Spasm Detection.

Deep Neural Network-Based Empirical Mode Decomposition for Motor Imagery EEG Classification.

A Lightweight Convolutional Neural Network-Reformer Model for Efficient Epileptic Seizure Detection.

MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification.

Machine-learning-based classification of obstructive sleep apnea using 19-channel sleep EEG data.

Classification of mindfulness experiences from gamma-band effective connectivity: Application of machine-learning algorithms on resting, breathing, and body scan.

Restoring of Interhemispheric Symmetry in Patients With Stroke Following Bilateral or Unilateral Robot-Assisted Upper-Limb Rehabilitation: A Pilot Randomized Controlled Trial.

Cortical ROI Importance Improves MI Decoding From EEG Using Fused Light Neural Network.

Subject-Independent Wearable P300 Brain-Computer Interface Based on Convolutional Neural Network and Metric Learning.

Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition.

Classification of cyclic alternating patterns of sleep using EEG signals.

A Compact Graph Convolutional Network With Adaptive Functional Connectivity for Seizure Prediction.

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