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 226–250 of 1655 papers

TitleStatusHype
Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression ModelsCode0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Analysis of EEG frequency bands for Envisioned Speech RecognitionCode0
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure DetectionCode0
Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer InterfacesCode0
Learning Robust Features using Deep Learning for Automatic Seizure DetectionCode0
Avoiding Post-Processing with Event-Based Detection in Biomedical SignalsCode0
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer InterfacesCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
EnK: Encoding time-information in convolutionCode0
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG DataCode0
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmarkCode0
Enriching Large-Scale Eventuality Knowledge Graph with Entailment RelationsCode0
Ensemble learning using individual neonatal data for seizure detectionCode0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNetsCode0
Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracyCode0
Automated Pipeline for EEG Artifact Reduction (APPEAR) Recorded during fMRICode0
EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenariosCode0
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEGCode0
Multiscale Granger causality analysis by à trous wavelet transformCode0
EEGsig: an open-source machine learning-based toolbox for EEG signal processingCode0
A deep learning architecture to detect events in EEG signals during sleepCode0
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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