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 811820 of 1655 papers

TitleStatusHype
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression0
Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions0
Design of BCCWJ-EEG: Balanced Corpus with Human Electroencephalography0
Focal onset seizure prediction using convolutional networks0
Comparison of Attention-based Deep Learning Models for EEG Classification0
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis0
From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals0
Comparison of EEG based epilepsy diagnosis using neural networks and wavelet transform0
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting0
Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers0
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Benchmark Results

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