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 791800 of 1655 papers

TitleStatusHype
EEG-Based Reaction Time Prediction with Fuzzy Common Spatial Patterns and Phase Cohesion using Deep Autoencoder Based Data Fusion0
EEG-based Multimodal Representation Learning for Emotion Recognition0
Localization of MEG and EEG Brain Signals by Alternating Projection0
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG0
EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning0
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals0
Feature Learning from Incomplete EEG with Denoising Autoencoder0
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers0
EEG Based Emotion Sensing using convolutional neural networks0
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Benchmark Results

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