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
Deep learning with convolutional neural networks for EEG decoding and visualizationCode1
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEGCode1
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor AnalyticsCode1
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer InterfacesCode1
SGDR: Stochastic Gradient Descent with Warm RestartsCode1
Online SSVEP-based BCI using Riemannian geometryCode1
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding0
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding0
Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
Show:102550
← PrevPage 18 of 166Next →

Benchmark Results

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