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 751–800 of 1655 papers

TitleStatusHype
Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks—0
Classification of Hand-Grasp Movements of Stroke Patients using EEG DataCode1
EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands—0
Random Forest classifier for EEG-based seizure prediction—0
Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG—0
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural NetworkCode1
Generating Ten BCI Commands Using Four Simple Motor Imageries—0
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGCode1
Bioelectrical brain activity can predict prosocial behavior—0
Deep Learning for EEG Seizure Detection in Preterm Infants—0
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture—0
Robust learning from corrupted EEG with dynamic spatial filteringCode1
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification—0
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network—0
Deep Correlation Analysis for Audio-EEG Decoding—0
Predicting speech intelligibility from EEG in a non-linear classification paradigm—0
Dyadic aggregated autoregressive (DASAR) model for time-frequency representation of biomedical signals—0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Normative brain mapping of interictal intracranial EEG to localise epileptogenic tissue—0
Long-term changes in functional connectivity predict responses to intracranial stimulation of the human brain—0
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection ApproachCode0
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction—0
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer InterfaceCode1
Distilling EEG Representations via Capsules for Affective Computing—0
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback—0
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEGCode1
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG—0
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes—0
Algoritmos de minería de datos en la industria sanitaria—0
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder—0
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning—0
Decoding of the Walking States and Step Rates from Cortical Electrocorticogram Signals—0
Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signalsCode0
Temporal EigenPAC for dyslexia diagnosis—0
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis—0
SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction—0
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring—0
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control—0
Neurological Status Classification Using Convolutional Neural Network—0
Strengthening the Training of Convolutional Neural Networks By Using Walsh MatrixCode0
Does Double Biofeedback Affect Functional Hemispheric Asymmetry and Activity? A Pilot Study—0
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal—0
Product semantics translation from brain activity via adversarial learning—0
Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading—0
Verifying Design through Generative Visualization of Neural Activities—0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal—0
Review Dry and Non-Contact EEG Electrodes for 2010-2021 Years—0
Progress in neural networks for EEG signal recognition in 2021—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