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 10311040 of 1655 papers

TitleStatusHype
Gated Recurrent Networks for Seizure Detection0
Generating EEG features from Acoustic features0
Generating Ten BCI Commands Using Four Simple Motor Imageries0
Generative Adversarial Networks Conditioned by Brain Signals0
Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis0
Geometric feature performance under downsampling for EEG classification tasks0
Geometry-Constrained EEG Channel Selection for Brain-Assisted Speech Enhancement0
Global dynamics of neural mass models0
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network0
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning0
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Benchmark Results

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