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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 1655 papers

TitleStatusHype
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signalsCode1
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor AnalyticsCode1
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution ShiftsCode1
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological PretrainingCode1
Automatic detection of microsleep episodes with deep learningCode1
Online SSVEP-based BCI using Riemannian geometryCode1
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activityCode1
Partial Label Learning for Emotion Recognition from EEGCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
Decoding Natural Images from EEG for Object RecognitionCode1
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement PredictionCode1
Data augmentation for learning predictive models on EEG: a systematic comparisonCode1
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion RecognitionCode1
Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal TransformerCode1
Decoding Human Attentive States from Spatial-temporal EEG Patches Using TransformersCode1
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the WildCode1
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGCode1
Real-Time Emotion Classification Using EEG Data Stream in E-Learning ContextsCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Seeing your sleep stage: cross-modal distillation from EEG to infrared videoCode1
Deep learning with convolutional neural networks for EEG decoding and visualizationCode1
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery ClassificationCode1
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion RecognitionCode1
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
Image-based eeg classification of brain responses to song recordingsCode0
An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning ApproachCode0
Imagined speech classification using EEGCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection ApproachCode0
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage ClassificationCode0
Hybrid multi-objective evolutionary algorithm based on Search Manager framework for big data optimization problemsCode0
Improved robust weighted averaging for event-related potentials in EEGCode0
Generalized Concomitant Multi-Task Lasso for sparse multimodal regressionCode0
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure DetectionCode0
Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer InterfacesCode0
gen2Out: Detecting and Ranking Generalized AnomaliesCode0
Granger Causality using Neural NetworksCode0
Analysis of EEG frequency bands for Envisioned Speech RecognitionCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
Inherent fuzzy entropy for the improvement of EEG complexity evaluationCode0
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer InterfacesCode0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Show:102550
← PrevPage 4 of 34Next →
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