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 61–70 of 1655 papers

TitleStatusHype
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration—0
Multi-class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum—0
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge—0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs—0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
Demo: Multi-Modal Seizure Prediction System—0
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals—0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures—0
A contrastive-learning approach for auditory attention detection—0
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Benchmark Results

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