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

Showing 2130 of 1655 papers

TitleStatusHype
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
EEG-based Emotional Video Classification via Learning Connectivity StructureCode1
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
Artificial Intelligence for EEG Prediction: Applied Chaos TheoryCode1
Real-time noise cancellation with Deep LearningCode1
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
Automatic detection of microsleep episodes with deep learningCode1
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution ShiftsCode1
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35Unverified
2DGCNNAccuracy69.88Unverified
3DBNAccuracy66.77Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08Unverified