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EEG

Electroencephalography epilepsy

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Showing 826–850 of 2431 papers

TitleStatusHype
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
Dynamical Component Analysis (DyCA) and its application on epileptic EEG—0
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision—0
An Ensemble Learning Based Classification of Individual Finger Movement from EEG—0
Dynamic directed functional connectivity as a neural biomarker for objective motor skill assessment—0
Dynamic EEG-fMRI mapping: Revealing the relationship between brain connectivity and cognitive state—0
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems—0
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification—0
Dynamic reshaping of functional brain networks during visual object recognition—0
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies—0
EAD: An EEG Adapter for Automated Classification—0
Early Detection of Cognitive Impairment in Elderly using a Passive FPVS-EEG BCI and Machine Learning -- Extended Version—0
Early Detection of Mental Stress Using Advanced Neuroimaging and Artificial Intelligence—0
Detection of epileptic seizure in EEG signals using linear least squares preprocessing—0
Early soft and flexible fusion of EEG and fMRI via tensor decompositions—0
Early Warning Prediction with Automatic Labeling in Epilepsy Patients—0
Early warning indicators via latent stochastic dynamical systems—0
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding—0
ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals—0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis—0
Edge Deep Learning for Neural Implants—0
Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification—0
Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization—0
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding—0
An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing—0
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