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 176–200 of 1655 papers

TitleStatusHype
Robust learning from corrupted EEG with dynamic spatial filteringCode1
An EEG-based Image Annotation System—0
An EEG-based approach for Parkinson's disease diagnosis using Capsule network—0
Affective Brain-Computer Interfaces: A Tutorial to Choose Performance Measuring Metric—0
An automated approach for task evaluation using EEG signals—0
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—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
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
An Analysis of Two Common Reference Points for EEGs—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events—0
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
Analyzing EEG Data with Machine and Deep Learning: A Benchmark—0
Analysis of Relation between Motor Activity and Imaginary EEG Records—0
Accounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation—0
Analysis of Microstate Organization During Emotional Events—0
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking -- Technical Affordances and used Methods—0
A contrastive-learning approach for auditory attention detection—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects—0
Analysis of EEG data using complex geometric structurization—0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes—0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—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