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 601–625 of 1655 papers

TitleStatusHype
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
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEGCode0
Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces—0
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data—0
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift—0
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning—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
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
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
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment ClassificationCode1
Extracting seizure onset from surface EEG with Independent Component Analysis: insights from simultaneous scalp and intracerebral EEG—0
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
Comparison of inverse problem linear and non-linear methods for localization source: a combined TMS-EEG study—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