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 171180 of 1655 papers

TitleStatusHype
Real-time noise cancellation with Deep LearningCode1
Learning Generative Factors of EEG Data with Variational auto-encodersCode1
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer InterfaceCode1
Low-cost brain computer interface for everyday useCode1
Partial Label Learning for Emotion Recognition from EEGCode1
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level EstimationCode1
An EEG-based Image Annotation System0
An EEG-based approach for Parkinson's disease diagnosis using Capsule network0
Affective Brain-Computer Interfaces: A Tutorial to Choose Performance Measuring Metric0
An automated approach for task evaluation using EEG signals0
Show:102550
← PrevPage 18 of 166Next →

Benchmark Results

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