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 501–550 of 1655 papers

TitleStatusHype
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPsCode0
Multi-Tier Platform for Cognizing Massive Electroencephalogram—0
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological PretrainingCode1
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
Energy-Efficient Tree-Based EEG Artifact Detection—0
Is the Contralateral Delay Activity (CDA) a robust neural correlate for Visual Working Memory (VWM) tasks? A reproducibility study—0
Benchmarking Domain Generalization on EEG-based Emotion Recognition—0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition—0
Intracranial EEG structure-function coupling predicts surgical outcomes in focal epilepsy—0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression—0
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals—0
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces—0
A Machine Learning Approach to Automatic Classification of Eight Sleep Disorders—0
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery ClassificationCode1
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion RecognitionCode1
Epileptic Seizure Risk Assessment by Multi-Channel Imaging of the EEG—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
Ensemble learning using individual neonatal data for seizure detectionCode0
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis—0
Comparison of EEG based epilepsy diagnosis using neural networks and wavelet transform—0
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction—0
mulEEG: A Multi-View Representation Learning on EEG SignalsCode1
Automated Sleep Staging via Parallel Frequency-Cut Attention—0
EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenariosCode0
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
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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