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 651–700 of 1655 papers

TitleStatusHype
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
Wavelet-Based Multi-Class Seizure Type Classification System—0
Low Latency Real-Time Seizure Detection Using Transfer Deep Learning—0
Significant Low-dimensional Spectral-temporal Features for Seizure Detection—0
Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network—0
Spectrally Adaptive Common Spatial Patterns—0
Dimensional criterion for forecasting nonlinear systems by reservoir computing—0
Efficacy of Transformer Networks for Classification of Raw EEG Data—0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
An Olfactory EEG Signal Classification Network Based on Frequency Band Feature Extraction—0
Spectro Temporal EEG Biomarkers For Binary Emotion Classification—0
Brain Source Localization by Alternating Projection—0
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
Sparse algorithms for EEG source localization—0
Image-based eeg classification of brain responses to song recordingsCode0
Automated Feature Extraction on AsMap for Emotion Classification using EEG—0
Chronic iEEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states—0
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure DetectionCode0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI—0
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging DataCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity—0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
EEG Based Emotion Sensing using convolutional neural networks—0
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification—0
Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-heuristically Optimized Non-local Means Filter—0
Adaptive Template Enhancement for Improved Person Recognition using Small Datasets—0
DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis—0
Brain-Supervised Image Editing—0
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals—0
Feature matching as improved transfer learning technique for wearable EEG—0
Uncertainty Detection and Reduction in Neural Decoding of EEG SignalsCode0
An EEG-based approach for Parkinson's disease diagnosis using Capsule network—0
Temporal Analysis of Functional Brain Connectivity for EEG-based Emotion Recognition—0
Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces—0
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEGCode0
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data—0
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning—0
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift—0
Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface—0
Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability—0
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification—0
Progressive Graph Convolution Network for EEG Emotion Recognition—0
Differential EEG Characteristics during Working Memory Encoding and Re-encoding—0
Reading Task Classification Using EEG and Eye-Tracking DataCode0
Overview of The MediaEval 2021 Predicting Media Memorability Task—0
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey—0
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals—0
Extracting seizure onset from surface EEG with Independent Component Analysis: insights from simultaneous scalp and intracerebral 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