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 51–100 of 1655 papers

TitleStatusHype
EEG-Based Emotion Recognition Using Regularized Graph Neural NetworksCode1
fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationshipsCode1
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion RecognitionCode1
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency AnalysisCode1
Correct block-design experiments mitigate temporal correlation bias in EEG classificationCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
EEG Channel Interpolation Using Deep Encoder-decoder NetwoksCode1
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activityCode1
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversationsCode1
A few filters are enough: Convolutional Neural Network for P300 DetectionCode1
edBB: Biometrics and Behavior for Assessing Remote EducationCode1
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
EEG2Mel: Reconstructing Sound from Brain Responses to MusicCode1
Artificial Intelligence for EEG Prediction: Applied Chaos TheoryCode1
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
Dreamento: an open-source dream engineering toolbox for sleep EEG wearablesCode1
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge DistillationCode1
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEGCode1
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
Real-time noise cancellation with Deep LearningCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution ShiftsCode1
Can Brain Signals Reveal Inner Alignment with Human Languages?Code1
A Transformer-based deep neural network model for SSVEP classificationCode1
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI dataCode1
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEGCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGCode1
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor AnalyticsCode1
EEG-based Emotional Video Classification via Learning Connectivity StructureCode1
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access SystemCode1
Disguising Personal Identity Information in EEG SignalsCode1
Classification of Hand-Grasp Movements of Stroke Patients using EEG DataCode1
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking ApplicationsCode1
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time seriesCode1
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural NetworkCode1
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery ClassificationCode1
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer InterfacesCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
clusterBMA: Bayesian model averaging for clusteringCode1
Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleepCode1
Closed loop BCI System for Cybathlon 2020Code1
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease AssessmentCode1
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEGCode1
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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