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EEG

Electroencephalography epilepsy

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Showing 551–575 of 2431 papers

TitleStatusHype
Automatic sleep monitoring using ear-EEG—0
Automatic Seizure Prediction using CNN and LSTM—0
An EEG-based Stereoscopic Research to Reveal the Brain's Response to What Happens Before and After Watching 2D and 3D Movies—0
Accounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation—0
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives—0
Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-heuristically Optimized Non-local Means Filter—0
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis—0
Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG—0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
An EEG-based Image Annotation System—0
A Feasibility Study of Task-Based fMRI at 0.55 T—0
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models—0
Automatic Electrodes Detection during simultaneous EEG/fMRI acquisition—0
An EEG-based approach for Parkinson's disease diagnosis using Capsule network—0
Automatic EEG Independent Component Classification Using ICLabel in Python—0
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models—0
Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation—0
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces—0
Covariance Density Neural Networks—0
Contrastive random lead coding for channel-agnostic self-supervision of biosignals—0
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces—0
Automatic Detection of Epileptiform Discharges in the EEG—0
An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework—0
Automatic Detection of Arousals during Sleep using Multiple Physiological Signals—0
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree—0
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