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 401410 of 1655 papers

TitleStatusHype
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding0
Automated Detection of Patients in Hospital Video Recordings0
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network0
Analyzing EEG Data with Machine and Deep Learning: A Benchmark0
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning0
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach0
Analysis of Relation between Motor Activity and Imaginary EEG Records0
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning0
Analysis of Microstate Organization During Emotional Events0
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Benchmark Results

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