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 11711180 of 1655 papers

TitleStatusHype
Machine learning with electroencephalography features for precise diagnosis of depression subtypes0
Machine learning without a feature set for detecting bursts in the EEG of preterm infants0
MAEEG: Masked Auto-encoder for EEG Representation Learning0
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data0
Measuring Consciousness0
MEMD-HHT based Emotion Detection from EEG using 3D CNN0
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG0
Mental Fatigue Monitoring using Brain Dynamics Preferences0
Mental State Classification Using Multi-graph Features0
Mental State Recognition via Wearable EEG0
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Benchmark Results

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