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 851860 of 1655 papers

TitleStatusHype
Spatial-Temporal Recurrent Neural Network for Emotion Recognition0
Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning0
Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEG0
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals0
Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems0
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors0
Speaker Identification using EEG0
Spectral independent component analysis with noise modeling for M/EEG source separation0
Spectrally Adaptive Common Spatial Patterns0
Spectro Temporal EEG Biomarkers For Binary Emotion Classification0
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Benchmark Results

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