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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 13011310 of 1655 papers

TitleStatusHype
Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling0
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals0
Dynamical Component Analysis (DyCA) and its application on epileptic EEG0
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmarkCode0
Recurrent Neural Networks for P300-based BCICode0
Impact of the reference choice on scalp EEG connectivity estimation0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems0
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Benchmark Results

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