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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 481490 of 1655 papers

TitleStatusHype
Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context0
Embedding neurophysiological signalsCode0
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices0
Sparse Dynamical Features generation, application to Parkinson's Disease diagnosis0
Analysis of Microstate Organization During Emotional Events0
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithmCode0
Extreme-Long-short Term Memory for Time-series Prediction0
Bandwidth-efficient distributed neural network architectures with application to body sensor networks0
Toward the application of XAI methods in EEG-based systems0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction0
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Benchmark Results

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