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 726–750 of 1655 papers

TitleStatusHype
Emotion self-regulation training in major depressive disorder using simultaneous real-time fMRI and EEG neurofeedback—0
Emotion Specification from Musical Stimuli: An EEG Study with AFA and DFA—0
Modified swarm-based metaheuristics enhance Gradient Descent initialization performance: Application for EEG spatial filtering—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
EEG Classification based on Image Configuration in Social Anxiety Disorder—0
Brain waves are a repetition of a pause and an activity—0
Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier—0
Energy-Efficient Tree-Based EEG Artifact Detection—0
EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands—0
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity—0
Automated Sleep Staging via Parallel Frequency-Cut Attention—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
EEG-based video identification using graph signal modeling and graph convolutional neural network—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—0
Brain-Supervised Image Editing—0
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks—0
EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD—0
Brain Source Localization by Alternating Projection—0
Ensemble approach for detection of depression using EEG features—0
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures—0
Ensemble emotion recognizing with multiple modal physiological signals—0
AI Neurotechnology for Aging Societies -- Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods—0
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates—0
Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals—0
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—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