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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 16011610 of 1655 papers

TitleStatusHype
Backward Renormalization Priors and the Cortical Source Localization Problem with EEG or MEG0
Difficulties applying recent blind source separation techniques to EEG and MEG0
Sparse Bayesian Learning for EEG Source Localization0
Using Riemannian geometry for SSVEP-based Brain Computer InterfaceCode0
Detecting Epileptic Seizures from EEG Data using Neural Networks0
Imagined speech classification using EEGCode0
Covariance shrinkage for autocorrelated data0
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings0
Canonical Polyadic Decomposition with Auxiliary Information for Brain Computer Interface0
Prediction of Synchrostate Transitions in EEG Signals Using Markov Chain Models0
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Benchmark Results

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