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 12311240 of 1655 papers

TitleStatusHype
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference0
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy0
Multi-Tier Platform for Cognizing Massive Electroencephalogram0
Multivariate Empirical Mode Decomposition of EEG for Mental State Detection at Localized Brain Lobes0
Multi-View Bayesian Correlated Component Analysis0
Multiview Graph Learning with Consensus Graph0
Music Therapy based Stress Prediction using Homological Feature Analysis on EEG Signals0
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution0
MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics0
MutualGraphNet: A novel model for motor imagery classification0
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Benchmark Results

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