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 10611070 of 1655 papers

TitleStatusHype
Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm0
Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network0
Seizure pathways and seizure durations can vary independently within individual patients with focal epilepsy0
Seizure Prediction Using Bidirectional LSTM0
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning0
CLASH: Contrastive learning through alignment shifting to extract stimulus information from EEG0
Self-supervised Learning for Electroencephalogram: A Systematic Survey0
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning0
Semi-automated Annotation of Signal Events in Clinical EEG Data0
Semi-supervised Seizure Prediction with Generative Adversarial Networks0
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Benchmark Results

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