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 14411450 of 1655 papers

TitleStatusHype
Gated Recurrent Networks for Seizure Detection0
Optimizing Channel Selection for Seizure Detection0
Improved EEG Event Classification Using Differential Energy0
An Analysis of Two Common Reference Points for EEGs0
Semi-automated Annotation of Signal Events in Clinical EEG Data0
Objective evaluation metrics for automatic classification of EEG events0
Deep Architectures for Automated Seizure Detection in Scalp EEGs0
Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures0
Report: Dynamic Eye Movement Matching and Visualization Tool in Neuro GestureCode0
Towards Deep Modeling of Music Semantics using EEG Regularizers0
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Benchmark Results

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