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 10011025 of 1655 papers

TitleStatusHype
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification0
Variational Component Decoder for Source Extraction from Nonlinear Mixture0
Verifying Design through Generative Visualization of Neural Activities0
Visualizing High Dimensional Dynamical Processes0
Visual Motion Onset Brain-computer Interface0
Wavelet algorithm for the identification of P300 ERP component0
Wavelet-Based Multi-Class Seizure Type Classification System0
Wearable Device-Based Real-Time Monitoring of Physiological Signals: Evaluating Cognitive Load Across Different Tasks0
Web Search via an Efficient and Effective Brain-Machine Interface0
Weight-based Channel-model Matrix Framework provides a reasonable solution for EEG-based cross-dataset emotion recognition0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks0
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity0
White-Box Target Attack for EEG-Based BCI Regression Problems0
Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search0
Wireless User-Generic Ear EEG0
WISDoM: characterizing neurological timeseries with the Wishart distribution0
WU-NEAT: A clinically validated, open- source MATLAB toolbox for limited-channel neonatal EEG analysis0
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
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting0
Functional Connectivity Methods for EEG-based Biometrics on a Large, Heterogeneous Dataset0
Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors0
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification0
Functional switching among dynamic neuronal hub-nodes in the brain induces transition of cognitive states0
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression0
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Benchmark Results

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