Neurology

Seizures

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

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EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More

Recently, electroencephalography (EEG) signals have been actively incorporated to decode brain act...

EEG Emotion Recognition Based on 3D-CTransNet.

Emotion recognition is of great significance for brain-computer interface and emotion computing, and...

Jul 2024 40031451
An Attention-Based Hybrid Deep Learning Approach for Patient-Specific, Cross-Patient, and Patient-Independent Seizure Detection.

Automatic detection of epilepsy plays a crucial role in diagnosing and treatment of patients, while ...

Jul 2024 40031456
Enhancing Word-Level Imagined Speech BCI Through Heterogeneous Transfer Learning.

In this study, we proposed a novel heterogeneous transfer learning approach named Focused Speech Fea...

Jul 2024 40031461
A Method of Cross-Subject Transfer Learning for Ultra Short Time SSVEP Classification.

The steady-state visual evoked potentials (SSVEP) based brain-computer interfaces (BCIs) require ext...

Jul 2024 40031504
Bi-Stream Adaptation Network for Motor Imagery Decoding.

Neural activities in distinct brain regions variably contribute to the formation of motor imagery (M...

Jul 2024 40031514
EEG Tensorization Enhances CNN-Based Outcome Classification in Comatose Patients Following a Cardiac Arrest.

Standard diagnostic methods for evaluating the severity of brain injuries resulting from cardiac arr...

Jul 2024 40039083
Contrastive Self-supervised EEG Representation Learning for Emotion Classification.

Self-supervised learning provides an effective approach to leverage a large amount of unlabeled data...

Jul 2024 40039093
Unsupervised Hybrid Deep Feature Encoder for Robust Feature Learning from Resting-State EEG Data.

EEG classification is a challenging task due to the nonstationary nature of EEG data and the covaria...

Jul 2024 40039110
EEG Acquisition and Motor Imagery Classification for Robotic Control.

The adoption of brain-computer interfaces (BCIs) has significantly increased in various application ...

Jul 2024 40039126
Neurocognitive assessment under various human-robot teaming environments.

Human-robot teaming has become increasingly important with the advent of intelligent machines. Prior...

Jul 2024 40039128
Challenging Deep Learning Methods for EEG Signal Denoising under Data Corruption.

Capturing informative electroencephalogram (EEG) signals is a challenging task due to the presence o...

Jul 2024 40039138
TAU-DI Net: A Multi-Scale Convolutional Network Combining Prob-Sparse Attention for EEG-based Depression Identification.

EEG-based detection of major depression disorder (MDD) plays a pivotal role in the subsequent treatm...

Jul 2024 40039164
An Efficient Deep Transfer Learning Network for Characterization of Stroke Patients' Motor Execution from Multi-Channel EEG-Recordings.

Recent advances in stroke rehabilitation technology have been focused on developing Intelligent Reha...

Jul 2024 40039178
Complexity Analysis based on Parietal Fuzzy Entropy to Facilitate ADHD Diagnosis in Young Children.

Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the developme...

Jul 2024 40039205
Decoding Visual Perception from EEG Using Explainable Graph Neural Network.

Brain decoding is an emerging area in the fields of neuroscience and machine learning. The goal of d...

Jul 2024 40039225
Mapping Cognitive Engagement: EEG and Graph Theory Analysis of Brain Region Involvement in Supernumerary Robotic Finger Utilization.

As the worldwide incidence of stroke increases, supernumerary robotic limbs (SRLs), more specificall...

Jul 2024 40039226
Interpretable SincNet-Based Spatiotemporal Neural Network for Seizure Prediction.

Spatiotemporal convolutional neural networks (CNNs) have emerged as potent tools for seizure predict...

Jul 2024 40039376
Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data.

While deep learning methods are increasingly applied in research contexts for neuropsychiatric disor...

Jul 2024 40039441
Transformer-based Model Captures Neural Representation Differences between Nouns and Verbs in Spoken Narratives.

Nouns and verbs constitute the fundamental elements of human language systems. Abundant studies have...

Jul 2024 40039524
Epileptic State Prediction using Phase Space Domain and Machine Learning Algorithms.

Epilepsy is a disease of the brain that causes unprovoked or reflex seizures that affects millions o...

Jul 2024 40039571
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