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EEG

Electroencephalography epilepsy

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Showing 1801–1825 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
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