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 1126–1150 of 1655 papers

TitleStatusHype
Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance—0
Investigating the role of visual experience with face-masks in face recognition during COVID-19—0
Ischemic Stroke Identification Based on EEG and EOG using 1D Convolutional Neural Network and Batch Normalization—0
Is the Contralateral Delay Activity (CDA) a robust neural correlate for Visual Working Memory (VWM) tasks? A reproducibility study—0
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals—0
Joint SCSP-LROM: A novel approach to detect Cerebrovascular Anomalies from EEG signals—0
Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification—0
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection—0
Knowledge extraction, modeling and formalization: EEG case study—0
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification—0
Labeler-hot Detection of EEG Epileptic Transients—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
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing—0
Latent neural source recovery via transcoding of simultaneous EEG-fMRI—0
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network—0
Learning Deep Matrix Representations—0
Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering—0
Learning Patterns in Imaginary Vowels for an Intelligent Brain Computer Interface (BCI) Design—0
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification—0
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders—0
Lehmer Transform and its Theoretical Properties—0
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning—0
LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces—0
LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring—0
Light-Weight 1-D Convolutional Neural Network Architecture for Mental Task Identification and Classification Based on Single-Channel EEG—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