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 14261450 of 1655 papers

TitleStatusHype
Reduced integration and improved segregation of functional brain networks in Alzheimer's disease0
Multi-View Bayesian Correlated Component Analysis0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
Extension of the non-parametric cluster-based time-frequency statistics to the full time windows and to single condition tests0
Anticipating epileptic seizures through the analysis of EEG synchronization as a data classification problem0
To jump or not to jump: The Bereitschaftspotential required to jump into 192-meter abyss0
A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Participants using Random Matrix Theory0
Improvement of Resting-state EEG Analysis Process with Spectrum Weight-Voting based on LES0
An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning ApproachCode0
Time Series Segmentation through Automatic Feature Learning0
Plasma Brain Dynamics (PBD): A Mechanism for EEG Waves Under Human Consciousness0
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification0
Deep Classification of Epileptic Signals0
Context tree selection for functional dataCode0
The Temple University Hospital Seizure Detection Corpus0
Gated Recurrent Networks for Seizure Detection0
Optimizing Channel Selection for Seizure Detection0
Improved EEG Event Classification Using Differential Energy0
An Analysis of Two Common Reference Points for EEGs0
Semi-automated Annotation of Signal Events in Clinical EEG Data0
Objective evaluation metrics for automatic classification of EEG events0
Deep Architectures for Automated Seizure Detection in Scalp EEGs0
Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures0
Report: Dynamic Eye Movement Matching and Visualization Tool in Neuro GestureCode0
Towards Deep Modeling of Music Semantics using EEG Regularizers0
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Benchmark Results

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