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 10611070 of 1655 papers

TitleStatusHype
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification0
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 20160
Local Model Feature Transformations0
Deep transfer learning for improving single-EEG arousal detection0
Object classification from randomized EEG trials0
Advancing Speech Synthesis using EEG0
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition0
Binary and Multiclass Classifiers based on Multitaper Spectral Features for Epilepsy Detection0
TSception: A Deep Learning Framework for Emotion Detection Using EEGCode1
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Benchmark Results

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