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 451–475 of 1655 papers

TitleStatusHype
Nonlinear and Machine Learning Analyses on High-Density EEG data of Math Experts and Novices—0
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces—0
Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI—0
Target-centered Subject Transfer Framework for EEG Data Augmentation—0
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain PhysiologyCode0
Power Spectral Density-Based Resting-State EEG Classification of First-Episode Psychosis—0
STILN: A Novel Spatial-Temporal Information Learning Network for EEG-based Emotion Recognition—0
Federated deep transfer learning for EEG decoding using multiple BCI tasks—0
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—0
A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning—0
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events—0
Brain informed transfer learning for categorizing construction hazards—0
Single-channel EEG completion using Cascade Transformer—0
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition—0
Motor imagery classification using EEG spectrograms—0
Review of medical data analysis based on spiking neural networks—0
Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine LearningCode0
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG—0
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals—0
Performance and utility trade-off in interpretable sleep staging—0
Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEGCode0
Topological biomarkers for real-time detection of epileptic seizures—0
Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot studyCode0
Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)—0
BCI-Walls: A robust methodology to predict success or failure in brain computer interfaces—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