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 401–450 of 1655 papers

TitleStatusHype
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
Automated Detection of Patients in Hospital Video Recordings—0
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network—0
Analyzing EEG Data with Machine and Deep Learning: A Benchmark—0
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning—0
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach—0
Analysis of Relation between Motor Activity and Imaginary EEG Records—0
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning—0
Analysis of Microstate Organization During Emotional Events—0
A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age—0
A unified information-theoretic model of EEG signatures of human language processing—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
Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network—0
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition—0
A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB—0
Analysis of EEG data using complex geometric structurization—0
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects—0
Attention Patterns Detection using Brain Computer Interfaces—0
Attention-based Transfer Learning for Brain-computer Interface—0
Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal—0
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface—0
A TSK-type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue—0
Analysis of Blink Rate Variability during reading and memory testing—0
Adversarial Deep Learning in EEG Biometrics—0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes—0
Accounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
Cortical representations of Auditory Perception using Graph Independent Component on EEG—0
A topological classifier to characterize brain states: When shape matters more than variance—0
Analysis of artifacts in EEG signals for building BCIs—0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition—0
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces—0
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces—0
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal—0
A Technique Based on Chaos for Brain Computer Interfacing—0
Correlation based Multi-phasal models for improved imagined speech EEG recognition—0
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding—0
Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) Study—0
Cortical recruitment and functional dynamics in postural control adaptation and habituation during vibratory proprioceptive stimulation—0
Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals—0
Cortical Xi-Alpha model for resting state electric neuronal activity—0
Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information—0
Covariance shrinkage for autocorrelated data—0
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—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