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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 371380 of 1655 papers

TitleStatusHype
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
CogBERT: Cognition-Guided Pre-trained Language ModelsCode0
quEEGNet: Quantum AI for Biosignal Processing0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning0
Community Detection in Multi-frequency EEG Networks0
Calibration of off-the-shelf low-cost wearable EEG headset for application in field studies0
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG0
Removal of Ocular Artifacts in EEG Using Deep Learning0
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution ShiftsCode1
Avoiding Post-Processing with Event-Based Detection in Biomedical SignalsCode0
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Benchmark Results

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