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 901–925 of 1655 papers

TitleStatusHype
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural NetworkCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording—0
Deep learning-based classification of fine hand movements from low frequency EEG—0
REPAC: Reliable estimation of phase-amplitude coupling in brain networks—0
Overlapping neural representations for the position of visible and imagined objects—0
Real-time noise cancellation with Deep LearningCode1
Correlation based Multi-phasal models for improved imagined speech EEG recognition—0
The electronic board to replace the reference voltage on the earlobe for EEG measurement—0
BCGGAN: Ballistocardiogram artifact removal in simultaneous EEG-fMRI using generative adversarial network—0
Review of Neural Networks in the EEG Signal Recognition—0
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks—0
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition—0
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG—0
Hybrid Backpropagation Parallel Reservoir Networks—0
BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks—0
Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks—0
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals—0
EEGsig: an open-source machine learning-based toolbox for EEG signal processingCode0
Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network—0
A novel convolutional neural network model to remove muscle artifacts from EEG—0
Effects of simultaneous real-time fMRI and EEG neurofeedback in major depressive disorder evaluated with brain electromagnetic tomography—0
Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering—0
Continuous monitoring of cognitive load using advanced computerized analysis of brain signals during virtual simulator training for laparoscopic surgery, reflects laparoscopic dexterity. A comparative study using a novel wireless device—0
Disguising Personal Identity Information in EEG SignalsCode1
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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