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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 15811590 of 1655 papers

TitleStatusHype
Cogni-Net: Cognitive Feature Learning through Deep Visual PerceptionCode0
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEGCode0
Intracerebral EEG Artifact Identification Using Convolutional Neural NetworksCode0
A library of quantitative markers of seizure severityCode0
Time Majority Voting, a PC-based EEG Classifier for Non-expert UsersCode0
Ensemble learning using individual neonatal data for seizure detectionCode0
Signal2Image Modules in Deep Neural Networks for EEG ClassificationCode0
Advancing NLP with Cognitive Language Processing SignalsCode0
Scope and Arbitration in Machine Learning Clinical EEG ClassificationCode0
Deep Feature Learning for EEG RecordingsCode0
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Benchmark Results

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