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

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Showing 676–700 of 1655 papers

TitleStatusHype
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
EEG multipurpose eye blink detector using convolutional neural network—0
Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech—0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units—0
EEGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training—0
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis—0
EEGs disclose significant brain activity correlated with synaptic fickleness—0
A penalized likelihood method for classification with matrix-valued predictors—0
EEG Signal Classification using Variational Mode Decomposition—0
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks—0
EEG Signal Processing using Wavelets for Accurate Seizure Detection through Cost Sensitive Data Mining—0
Detecting Information Relays in Deep Neural Networks—0
Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep—0
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships—0
EEG to fMRI Synthesis: Is Deep Learning a candidate?—0
Detecting Epileptic Seizures from EEG Data using Neural Networks—0
Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification—0
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State—0
Effect of Simulated Space Conditions on functional Connectivity—0
Effects of Images with Different Levels of Familiarity on EEG—0
Effects of simultaneous real-time fMRI and EEG neurofeedback in major depressive disorder evaluated with brain electromagnetic tomography—0
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance—0
Efficacy of Transformer Networks for Classification of Raw EEG Data—0
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network—0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

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