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 701–725 of 1655 papers

TitleStatusHype
Efficient Video Summarization Framework using EEG and Eye-tracking Signals—0
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams—0
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation—0
Multi-class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum—0
Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder (ASD) (Extended Version)—0
Electroencephalogram Sensor Data Compression Using An Asymmetrical Sparse Autoencoder With A Discrete Cosine Transform Layer—0
Electroencephalogram Signal Processing with Independent Component Analysis and Cognitive Stress Classification using Convolutional Neural Networks—0
Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)—0
Electroencephalography based Classification of Long-term Stress using Psychological Labeling—0
Electroencephalography signal processing based on textural features for monitoring the driver's state by a Brain-Computer Interface—0
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals—0
Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE) -- A novel ICA-based algorithm for removing myoelectric artifacts from EEG -- Part 2—0
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction—0
Electrophysiological indicators of gesture perception—0
EEG Classification based on Image Configuration in Social Anxiety Disorder—0
Brain waves are a repetition of a pause and an activity—0
Emergence of Brain Rhythms: Model Interpretation of EEG Data—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
Emotion Detection from EEG using Transfer Learning—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting—0
EEG-based video identification using graph signal modeling and graph convolutional neural network—0
Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—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