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 201–225 of 1655 papers

TitleStatusHype
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
A Statistical Approach for Synthetic EEG Data GenerationCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Advancing NLP with Cognitive Language Processing SignalsCode0
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral FeaturesCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
gen2Out: Detecting and Ranking Generalized AnomaliesCode0
Imagined speech classification using EEGCode0
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure DetectionCode0
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRICode0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer InterfacesCode0
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable CouplingsCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center studyCode0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
Ensemble learning using individual neonatal data for seizure detectionCode0
Enriching Large-Scale Eventuality Knowledge Graph with Entailment RelationsCode0
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection ApproachCode0
EnK: Encoding time-information in convolutionCode0
Avoiding Post-Processing with Event-Based Detection in Biomedical SignalsCode0
End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNetsCode0
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG DataCode0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
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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