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 10211030 of 1655 papers

TitleStatusHype
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG0
Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification0
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy0
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification0
Resting state brain networks from EEG: Hidden Markov states vs. classical microstates0
Resting-state EEG sex classification using selected brain connectivity representation0
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis0
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model0
Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading0
Review Dry and Non-Contact EEG Electrodes for 2010-2021 Years0
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Benchmark Results

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