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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 1655 papers

TitleStatusHype
Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEG—0
Neural modulation enhancement using connectivity-based EEG neurofeedback with simultaneous fMRI for emotion regulation—0
Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring—0
An Artificial Intelligence Browser Architecture (AIBA) For Our Kind and Others: A Voice Name System Speech implementation with two warrants, Wake Neutrality and Value Preservation of Personally Identifiable Information—0
Analysis of EEG frequency bands for Envisioned Speech RecognitionCode0
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis—0
MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection—0
A Cellular Automaton Model for the generation of Brainwaves—0
StrokeSight: A Novel EEG-Based Diagnostic System for Strokes Using Spectral Analysis and Deep Learning—0
Towards physiology-informed data augmentation for EEG-based BCIs—0
SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification—0
Analyzing EEG Data with Machine and Deep Learning: A Benchmark—0
EEG based Emotion Recognition: A Tutorial and Review—0
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithmCode1
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognition—0
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition—0
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection—0
Ensemble plasticity and network adaptability in SNNs—0
Evaluation of Performance for Human In-Vivo Conductivity Estimation from EEG and sEEG Recorded in Simultaneous with Intracerebral Electrical Stimulation—0
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships—0
A streamable large-scale clinical EEG dataset for Deep Learning—0
NEMAR: An open access data, tools, and compute resource operating on NeuroElectroMagnetic data—0
Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep—0
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition—0
Show:102550
← PrevPage 22 of 67Next →
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