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 14711480 of 1655 papers

TitleStatusHype
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis0
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG SignalsCode0
Ensemble Classifier for Eye State Classification using EEG Signals0
Neonatal Seizure Detection using Convolutional Neural Networks0
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection0
Deep learning with convolutional neural networks for decoding and visualization of EEG pathologyCode0
Multichannel sleep spindle detection using sparse low-rank optimizationCode0
Brain Responses During Robot-Error Observation0
Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identificationCode0
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling0
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Benchmark Results

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