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 13911400 of 1655 papers

TitleStatusHype
Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis0
Focal onset seizure prediction using convolutional networks0
Adaptive neural network classifier for decoding MEG signals0
Multivariate Convolutional Sparse Coding for Electromagnetic Brain SignalsCode0
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference0
Brain Age from the Electroencephalogram of Sleep0
Lehmer Transform and its Theoretical Properties0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration0
A New Method for Epileptic Seizure Classification in EEG Using Adapted Wavelet Packets0
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression0
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Benchmark Results

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