SOTAVerified

Electroencephalogram (EEG)

Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.

Papers

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Showing 301–350 of 1655 papers

TitleStatusHype
EEGsig: an open-source machine learning-based toolbox for EEG signal processingCode0
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive NetworkCode0
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical SignalsCode0
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning AnalysisCode0
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signalCode0
Embedding neurophysiological signalsCode0
End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNetsCode0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
Dynamical Embedding of Single Channel Electroencephalogram for Artifact Subspace ReconstructionCode0
An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and OctaveCode0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Deep learning with convolutional neural networks for decoding and visualization of EEG pathologyCode0
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography AnalysisCode0
Deep Feature Learning for EEG RecordingsCode0
Extreme Learning Machine design for dealing with unrepresentative featuresCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
Adaptive Modality Balanced Online Knowledge Distillation for Brain-Eye-Computer based Dim Object DetectionCode0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain ActivityCode0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationCode0
Granger Causality using Neural NetworksCode0
Decoding P300 Variability using Convolutional Neural NetworksCode0
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signalsCode0
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown InputsCode0
Hybrid multi-objective evolutionary algorithm based on Search Manager framework for big data optimization problemsCode0
CARE-rCortex: a Matlab toolbox for the analysis of CArdio-REspiratory-related activity in the CortexCode0
Bayesian Inference on Brain-Computer Interfaces via GLASSCode0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
Cerebral Signal Instantaneous Parameters Estimation MATLAB Toolbox - User Guide Version 2.3Code0
Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural NetworksCode0
Direct Estimation of Differential Functional Graphical ModelsCode0
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging DataCode0
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG SignalsCode0
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithmCode0
Convolutional Monge Mapping Normalization for learning on sleep dataCode0
Characterising Alzheimer's Disease with EEG-based Energy Landscape AnalysisCode0
Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression ModelsCode0
Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDACode0
Concept-based explainability for an EEG transformer modelCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interfaceCode0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
A library of quantitative markers of seizure severityCode0
Conditional canonical correlation estimation based on covariates with random forestsCode0
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked PotentialsCode0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35—Unverified
2DGCNNAccuracy69.88—Unverified
3DBNAccuracy66.77—Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08—Unverified