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 76–100 of 1655 papers

TitleStatusHype
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