Seizures

Seizures

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

4,541 articles

A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications

In recent years, the field of electroencephalography (EEG) analysis has witnessed remarkable advan...

Sep 2024 http://arxiv.org/abs/2410.08224v1

Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals

After an acute stroke, accurately estimating stroke severity is crucial for healthcare professiona...

Sep 2024 http://arxiv.org/abs/2410.07199v1

Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning

Recently, multimodal electroencephalogram (EEG) learning has shown great promise in disease detect...

Sep 2024 http://arxiv.org/abs/2409.13440v1

[An autoencoder model based on one-dimensional neural network for epileptic EEG anomaly detection].

OBJECTIVE: We propose an autoencoder model based on a one-dimensional convolutional neural network (...

Sep 2024 39505348

Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review

The Complex Emotion Recognition System (CERS) deciphers complex emotional states by examining comb...

Sep 2024 http://arxiv.org/abs/2409.07493v1

Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features

The study aims to investigate the similarities and differences in the brain damage caused by Hypox...

Sep 2024 http://arxiv.org/abs/2409.02957v1

EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery.

BACKGROUND: The adoption of convolutional neural networks (CNNs) for decoding electroencephalogram (...

Aug 2024 39207066

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

Integrating physiological signals such as electroencephalogram (EEG), with other data such as inte...

Aug 2024 http://arxiv.org/abs/2408.07313v1

Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation

Electroencephalography (EEG) provides reliable indications of human cognition and mental states. A...

Aug 2024 http://arxiv.org/abs/2408.10235v2

Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep

We explore the application of large language models (LLMs), pre-trained models with massive textua...

Aug 2024 http://arxiv.org/abs/2408.07822v1

EEG-SSM: Leveraging State-Space Model for Dementia Detection

State-space models (SSMs) have garnered attention for effectively processing long data sequences, ...

Jul 2024 http://arxiv.org/abs/2407.17801v1

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation

Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain function a...

Jul 2024 http://arxiv.org/abs/2408.00777v3

Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning

Electroencephalogram (EEG) technology, particularly high-density EEG (HD EEG) devices, is widely u...

Jul 2024 http://arxiv.org/abs/2407.03089v5

A Novel Approach to Image EEG Sleep Data for Improving Quality of Life in Patients Suffering From Brain Injuries Using DreamDiffusion

Those experiencing strokes, traumatic brain injuries, and drug complications can often end up hosp...

Jul 2024 http://arxiv.org/abs/2407.02673v1

Adaptive Modality Balanced Online Knowledge Distillation for Brain-Eye-Computer based Dim Object Detection

Advanced cognition can be extracted from the human brain using brain-computer interfaces. Integrat...

Jul 2024 http://arxiv.org/abs/2407.01894v2

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...

Jul 2024 http://arxiv.org/abs/2407.01884v1

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

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