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 201–250 of 1655 papers

TitleStatusHype
Inherent fuzzy entropy for the improvement of EEG complexity evaluationCode0
Image-based eeg classification of brain responses to song recordingsCode0
Imagined speech classification using EEGCode0
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection ApproachCode0
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage ClassificationCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable CouplingsCode0
Granger Causality using Neural NetworksCode0
A Statistical Approach for Synthetic EEG Data GenerationCode0
gen2Out: Detecting and Ranking Generalized AnomaliesCode0
Generalized Concomitant Multi-Task Lasso for sparse multimodal regressionCode0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRICode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
Advancing NLP with Cognitive Language Processing SignalsCode0
Hybrid multi-objective evolutionary algorithm based on Search Manager framework for big data optimization problemsCode0
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral FeaturesCode0
Extreme Learning Machine design for dealing with unrepresentative featuresCode0
Improved robust weighted averaging for event-related potentials in EEGCode0
Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center studyCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
Is the brain macroscopically linear? A system identification of resting state dynamicsCode0
Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression ModelsCode0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure DetectionCode0
Analysis of EEG frequency bands for Envisioned Speech RecognitionCode0
Avoiding Post-Processing with Event-Based Detection in Biomedical SignalsCode0
Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer InterfacesCode0
Learning Robust Features using Deep Learning for Automatic Seizure DetectionCode0
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
Enriching Large-Scale Eventuality Knowledge Graph with Entailment RelationsCode0
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmarkCode0
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
EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenariosCode0
Automated Pipeline for EEG Artifact Reduction (APPEAR) Recorded during fMRICode0
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
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEGCode0
EEGsig: an open-source machine learning-based toolbox for EEG signal processingCode0
An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning ApproachCode0
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