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

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Showing 1001–1050 of 1655 papers

TitleStatusHype
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification—0
Variational Component Decoder for Source Extraction from Nonlinear Mixture—0
Verifying Design through Generative Visualization of Neural Activities—0
Visualizing High Dimensional Dynamical Processes—0
Visual Motion Onset Brain-computer Interface—0
Wavelet algorithm for the identification of P300 ERP component—0
Wavelet-Based Multi-Class Seizure Type Classification System—0
Wearable Device-Based Real-Time Monitoring of Physiological Signals: Evaluating Cognitive Load Across Different Tasks—0
Web Search via an Efficient and Effective Brain-Machine Interface—0
Weight-based Channel-model Matrix Framework provides a reasonable solution for EEG-based cross-dataset emotion recognition—0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity—0
White-Box Target Attack for EEG-Based BCI Regression Problems—0
Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search—0
Wireless User-Generic Ear EEG—0
WISDoM: characterizing neurological timeseries with the Wishart distribution—0
WU-NEAT: A clinically validated, open- source MATLAB toolbox for limited-channel neonatal EEG analysis—0
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis—0
From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals—0
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting—0
Functional Connectivity Methods for EEG-based Biometrics on a Large, Heterogeneous Dataset—0
Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors—0
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification—0
Functional switching among dynamic neuronal hub-nodes in the brain induces transition of cognitive states—0
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression—0
Fusion of EEG and Musical Features in Continuous Music-emotion Recognition—0
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction—0
Genetic algorithm for feature selection of EEG heterogeneous data—0
Gamma band oscillations reflect sensory and affective dimensions of pain—0
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition—0
Gated Recurrent Networks for Seizure Detection—0
Generating EEG features from Acoustic features—0
Generating Ten BCI Commands Using Four Simple Motor Imageries—0
Generative Adversarial Networks Conditioned by Brain Signals—0
Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis—0
Geometric feature performance under downsampling for EEG classification tasks—0
Geometry-Constrained EEG Channel Selection for Brain-Assisted Speech Enhancement—0
Global dynamics of neural mass models—0
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network—0
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning—0
Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive Model—0
Graph Structure Based Data Augmentation Method—0
Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network—0
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG—0
Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates—0
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration—0
Head-related Impulse Response Cues for Spatial Auditory Brain-computer Interface—0
Hearables: Ear EEG Based Driver Fatigue Detection—0
HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks—0
Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG—0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

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