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 901910 of 1655 papers

TitleStatusHype
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural NetworkCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording0
Deep learning-based classification of fine hand movements from low frequency EEG0
REPAC: Reliable estimation of phase-amplitude coupling in brain networks0
Overlapping neural representations for the position of visible and imagined objects0
Real-time noise cancellation with Deep LearningCode1
Correlation based Multi-phasal models for improved imagined speech EEG recognition0
The electronic board to replace the reference voltage on the earlobe for EEG measurement0
BCGGAN: Ballistocardiogram artifact removal in simultaneous EEG-fMRI using generative adversarial network0
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Benchmark Results

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