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EEG

Electroencephalography epilepsy

Papers

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Showing 1801–1850 of 2431 papers

TitleStatusHype
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines—0
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography—0
Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion—0
Multimodal deep learning approach for joint EEG-EMG data compression and classification—0
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest—0
Multimodal Emotion Recognition based on Facial Expressions, Speech, and EEG—0
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model—0
Multimodal Emotion Recognition Using Multimodal Deep Learning—0
Multimodal Identification of Alzheimer's Disease: A Review—0
Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs—0
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition—0
Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs—0
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition—0
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital—0
Multi-Modal Wireless Flexible Gel-Free Sensors with Edge Deep Learning for Detecting and Alerting Freezing of Gait in Parkinson's Patients—0
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis—0
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition—0
Multi-Scale Neural network for EEG Representation Learning in BCI—0
Multiscale Wavelet Transfer Entropy with Application to Corticomuscular Coupling Analysis—0
Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography—0
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition—0
Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation—0
Multi-subject MEG/EEG source imaging with sparse multi-task regression—0
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference—0
Multi-Task Learning for Arousal and Sleep Stage Detection Using Fully Convolutional Networks—0
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy—0
Multi-Tier Platform for Cognizing Massive Electroencephalogram—0
Multivariate Empirical Mode Decomposition of EEG for Mental State Detection at Localized Brain Lobes—0
Multi-View Bayesian Correlated Component Analysis—0
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces—0
Multiview Graph Learning with Consensus Graph—0
Music Therapy based Stress Prediction using Homological Feature Analysis on EEG Signals—0
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution—0
MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics—0
MutualGraphNet: A novel model for motor imagery classification—0
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition—0
MV-PURE Spatial Filters with Application to EEG/MEG Source Reconstruction—0
Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals—0
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models—0
Navigating in Virtual Reality using Thought: The Development and Assessment of a Motor Imagery based Brain-Computer Interface—0
NEMAR: An open access data, tools, and compute resource operating on NeuroElectroMagnetic data—0
Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms—0
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture—0
Neonatal Seizure Detection using Convolutional Neural Networks—0
Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data—0
Neural Causal Discovery with Learnable Input Noise—0
Neural complexity -- Statistical-mechanical approach of human electroencephalograms—0
Neural Correlates of Face Familiarity Perception—0
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects—0
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes—0
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