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 601610 of 1655 papers

TitleStatusHype
Approximately optimal domain adaptation with Fisher's Linear Discriminant0
Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression0
Classification of EEG Signals using Genetic Programming for Feature Construction0
Classification of EEG Signal based on non-Gaussian Neutral Vector0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems0
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network0
Applying Transfer Learning To Deep Learned Models For EEG Analysis0
A Locally Adaptive Normal Distribution0
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals0
Classification of Brainwave Signals Based on Hybrid Deep Learning and an Evolutionary Algorithm0
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Benchmark Results

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