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EEG
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Electroencephalography epilepsy
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Improving Neonatal Care: An Active Dry-Contact Electrode-based Continuous EEG Monitoring System with Seizure Detection
Beyond the Signal: Medication State Effect on EEG-Based AI models for Parkinson's Disease
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring
Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges
Chirp Localization via Fine-Tuned Transformer Model: A Proof-of-Concept Study
Exploring Deep Learning Models for EEG Neural Decoding
Unifying EEG and Speech for Emotion Recognition: A Two-Step Joint Learning Framework for Handling Missing EEG Data During Inference
PiEEG kit - bioscience Lab in home for your Brain and Body
Consumer-grade EEG-based Eye Tracking
EEG-CLIP : Learning EEG representations from natural language descriptions
When neural implant meets multimodal LLM: A dual-loop system for neuromodulation and naturalistic neuralbehavioral research
Oscillatory Signatures of Parkinson's Disease: Central and Parietal EEG Alterations Across Multiple Frequency Bands
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network
BioSerenity-E1: a self-supervised EEG model for medical applications
EEG-Based Decoding of Sound Location: Comparing Free-Field to Headphone-Based Non-Individual HRTFs
EEG relative phase-based analysis unveils the complexity and universality of human brain dynamics: integrative insights from general anesthesia and ADHD
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
Is Limited Participant Diversity Impeding EEG-based Machine Learning?
CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing
NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification
Frequency-Based Alignment of EEG and Audio Signals Using Contrastive Learning and SincNet for Auditory Attention Detection
Insights into Schizophrenia: Leveraging Machine Learning for Early Identification via EEG, ERP, and Demographic Attributes
YARE-GAN: Yet Another Resting State EEG-GAN
Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method
Toward Scalable Access to Neurodevelopmental Screening: Insights, Implementation, and Challenges
Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning
A novel Fourier Adjacency Transformer for advanced EEG emotion recognition
Research on Event-Related Desynchronization of Motor Imagery and Movement Based on Localized EEG Cortical Sources
Fast $\ell_1$-Regularized EEG Source Localization Using Variable Projection
Music Therapy based Stress Prediction using Homological Feature Analysis on EEG Signals
Integrating Biological and Machine Intelligence: Attention Mechanisms in Brain-Computer Interfaces
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.