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 251–300 of 1655 papers

TitleStatusHype
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage ClassificationCode0
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare ApplicationsCode0
Granger Causality using Neural NetworksCode0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
gen2Out: Detecting and Ranking Generalized AnomaliesCode0
Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identificationCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Generalized Concomitant Multi-Task Lasso for sparse multimodal regressionCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Image-based eeg classification of brain responses to song recordingsCode0
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer InterfacesCode0
A library of quantitative markers of seizure severityCode0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionCode0
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure DetectionCode0
Avoiding Post-Processing with Event-Based Detection in Biomedical SignalsCode0
Enriching Large-Scale Eventuality Knowledge Graph with Entailment RelationsCode0
Ensemble learning using individual neonatal data for seizure detectionCode0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Extreme Learning Machine design for dealing with unrepresentative featuresCode0
A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG DataCode0
Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracyCode0
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
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
Embedding neurophysiological signalsCode0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenariosCode0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
EnK: Encoding time-information in convolutionCode0
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral FeaturesCode0
Imagined speech classification using EEGCode0
An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and OctaveCode0
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
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning AnalysisCode0
Dynamical Embedding of Single Channel Electroencephalogram for Artifact Subspace ReconstructionCode0
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical SignalsCode0
Direct Estimation of Differential Functional Graphical ModelsCode0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography AnalysisCode0
Deep learning with convolutional neural networks for decoding and visualization of EEG pathologyCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signalCode0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Decoding P300 Variability using Convolutional Neural NetworksCode0
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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