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EEG

Electroencephalography epilepsy

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Showing 1251–1300 of 2431 papers

TitleStatusHype
Topological biomarkers for real-time detection of epileptic seizures—0
Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot studyCode0
Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)—0
BCI-Walls: A robust methodology to predict success or failure in brain computer interfaces—0
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative ModelsCode0
Automatic Seizure Prediction using CNN and LSTM—0
Review on Classification Techniques used in Biophysiological Stress Monitoring—0
MAEEG: Masked Auto-encoder for EEG Representation Learning—0
Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset—0
Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context—0
Embedding neurophysiological signalsCode0
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices—0
Sparse Dynamical Features generation, application to Parkinson's Disease diagnosis—0
Analysis of Microstate Organization During Emotional Events—0
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithmCode0
Extreme-Long-short Term Memory for Time-series Prediction—0
Bandwidth-efficient distributed neural network architectures with application to body sensor networks—0
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm—0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
Toward the application of XAI methods in EEG-based systems—0
The evolution of AI approaches for motor imagery EEG-based BCIs—0
Inner speech recognition through electroencephalographic signals—0
Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition—0
A review on Epileptic Seizure Detection using Machine Learning—0
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data—0
CogBERT: Cognition-Guided Pre-trained Language ModelsCode0
quEEGNet: Quantum AI for Biosignal Processing—0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning—0
Community Detection in Multi-frequency EEG Networks—0
Calibration of off-the-shelf low-cost wearable EEG headset for application in field studies—0
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG—0
Removal of Ocular Artifacts in EEG Using Deep Learning—0
Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning—0
U-Sleep's resilience to AASM guidelines—0
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers—0
Weight-based Channel-model Matrix Framework provides a reasonable solution for EEG-based cross-dataset emotion recognition—0
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning—0
Examining Uniqueness and Permanence of the WAY EEG GAL dataset toward User Authentication—0
Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography—0
Machine Learning For Classification Of Antithetical Emotional States—0
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task—0
SaleNet: A low-power end-to-end CNN accelerator for sustained attention level evaluation using EEG—0
EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning—0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Finding neural signatures for obesity through feature selection on source-localized EEG—0
Periodic and non-periodic brainwaves emerging via random syncronization of closed loops of firing neurons—0
Development of Sleep State Trend (SST), a bedside measure of neonatal sleep state fluctuations based on single EEG channels—0
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning AnalysisCode0
Too Fine or Too Coarse? The Goldilocks Composition of Data Complexity for Robust Left-Right Eye-Tracking ClassifiersCode0
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