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 1551–1575 of 1655 papers

TitleStatusHype
Learning Robust Features using Deep Learning for Automatic Seizure DetectionCode0
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy—0
Assessing Functional Neural Connectivity as an Indicator of Cognitive Performance—0
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction—0
Wavelet algorithm for the identification of P300 ERP component—0
A New Statistical Model of Electroencephalogram Noise Spectra for Real-time Brain-Computer Interfaces—0
Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals—0
Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving—0
A Locally Adaptive Normal Distribution—0
Resting state brain networks from EEG: Hidden Markov states vs. classical microstates—0
Online SSVEP-based BCI using Riemannian geometryCode1
Automatic Detection of Epileptiform Discharges in the EEG—0
Identifying anatomical origins of coexisting oscillations in the cortical microcircuit—0
Interpretable Deep Neural Networks for Single-Trial EEG Classification—0
Detection of epileptic seizure in EEG signals using linear least squares preprocessing—0
Blink Rate Variability during resting and reading sessions—0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
Analysis of Blink Rate Variability during reading and memory testing—0
Review of analytical instruments for EEG analysis—0
Multimodal Emotion Recognition Using Multimodal Deep Learning—0
EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses—0
Reducing training requirements through evolutionary based dimension reduction and subject transfer—0
Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIsCode0
Mental State Recognition via Wearable EEG—0
Validating non-invasive EEG source imaging using optimal electrode configurations on a representative rat head model—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