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 1626–1650 of 1655 papers

TitleStatusHype
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning—0
Robust Spatial Filtering with Beta Divergence—0
Brains and pseudorandom generators—0
Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities—0
Spatial-Spectral Boosting Analysis for Stroke Patients' Motor Imagery EEG in Rehabilitation Training—0
Sparse and Functional Principal Components AnalysisCode0
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis—0
Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier—0
Transmodal Analysis of Neural Signals—0
Classifying Single-Trial EEG during Motor Imagery with a Small Training Set—0
Testing Hypotheses by Regularized Maximum Mean Discrepancy—0
Metrics for Multivariate DictionariesCode0
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals—0
Transferring Subspaces Between Subjects in Brain-Computer Interfacing—0
Decoding finger flexion from band-specific ECoG signals in humans—0
Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware—0
Traitement audiovisuel lors d'une t\^ache de discrimination syllabique : une \'etude EEG/IRMf simultan\'ee (Audiovisual processing in syllabic discrimination task: a simultaneous fMRI-EEG study) [in French]—0
La mie de pain n'est pas une amie: une \'etude EEG sur la perception de diff\'erences infra-phon\'emiques en situation de variations (Robustness of fine acoustic cues and Speech variability: a Mismatch Negativity study) [in French]—0
Towards Using EEG to Improve ASR Accuracy—0
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data—0
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification—0
A Biologically Plausible Model for Rapid Natural Scene Identification—0
Subject independent EEG-based BCI decoding—0
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance—0
Estimating vector fields using sparse basis field expansions—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