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 361370 of 1655 papers

TitleStatusHype
Toward the application of XAI methods in EEG-based systems0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction0
Inner speech recognition through electroencephalographic signals0
The evolution of AI approaches for motor imagery EEG-based BCIs0
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive EvaluationCode1
Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition0
A Transformer-based deep neural network model for SSVEP classificationCode1
A review on Epileptic Seizure Detection using Machine Learning0
MAtt: A Manifold Attention Network for EEG DecodingCode1
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data0
Show:102550
← PrevPage 37 of 166Next →

Benchmark Results

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