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 13011310 of 1655 papers

TitleStatusHype
Deep learning-based electroencephalography analysis: a systematic reviewCode0
Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation0
Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network0
Automated Brain Disorders Diagnosis Through Deep Neural NetworksCode0
DASPS: A Database for Anxious States based on a Psychological Stimulation0
Real-Time EEG Classification via Coresets for BCI Applications0
Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia0
Certainty based Reduced Sparse Solution for Dense Array EEG Source Localization0
Parametric Modeling of EEG Signals0
Training on the test set? An analysis of Spampinato et al. [arXiv:1609.00344]0
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Benchmark Results

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