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 14211430 of 1655 papers

TitleStatusHype
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization0
Application of Machine Learning to Sleep Stage Classification0
Application of statistical analysis to working memory problem0
Application of Topological Data Analysis to Delirium Detection0
Applying Transfer Learning To Deep Learned Models For EEG Analysis0
Approximately optimal domain adaptation with Fisher's Linear Discriminant0
Approximating DTW with a convolutional neural network on EEG data0
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis0
Show:102550
← PrevPage 143 of 166Next →

Benchmark Results

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