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 1351–1400 of 1655 papers

TitleStatusHype
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction—0
Preliminary Assessment of hands motor imagery in theta- and beta-bands for Brain-Machine-Interfaces using functional connectivity analysis—0
Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease—0
PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp and Lift task—0
Pretraining Large Brain Language Model for Active BCI: Silent Speech—0
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices—0
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior—0
Product semantics translation from brain activity via adversarial learning—0
Progress in neural networks for EEG signal recognition in 2021—0
Progressive Graph Convolution Network for EEG Emotion Recognition—0
Protecting Multiple Types of Privacy Simultaneously in EEG-based Brain-Computer Interfaces—0
Protecting Privacy of Users in Brain-Computer Interface Applications—0
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling—0
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges—0
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces—0
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback—0
Quantifying Synchronization in a Biologically Inspired Neural Network—0
Quantum calcium-ion interactions with EEG—0
quEEGNet: Quantum AI for Biosignal Processing—0
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring—0
Random Forest classifier for EEG-based seizure prediction—0
RaspberryPi to measure EEG, ECG, EMG and EOG with Shield PiEEG—0
Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during Augmented Reality Scenarios—0
Real-time EEG-based Emotion Recognition using Discrete Wavelet Transforms on Full and Reduced Channel Signals—0
Real-Time EEG Classification via Coresets for BCI Applications—0
Real-time fMRI neurofeedback of the mediodorsal and anterior thalamus enhances correlation between thalamic BOLD activity and alpha EEG rhythm—0
Real-time fMRI neurofeedback training of the amygdala activity with simultaneous EEG in veterans with combat-related PTSD—0
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach—0
Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor—0
Real Time Vigilance Detection using Frontal EEG—0
Recognition of Advertisement Emotions with Application to Computational Advertising—0
Reconfiguration of Brain Network between Resting-state and Oddball Paradigm—0
Reconsidering Spatial Priors In EEG Source Estimation: Does White Matter Contribute to EEG Rhythms?—0
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface—0
Reconstructing Visual Stimulus Images from EEG Signals Based on Deep Visual Representation Model—0
Recovering Arrhythmic EEG Transients from Their Stochastic Interference—0
Reduced integration and improved segregation of functional brain networks in Alzheimer's disease—0
Reduced neural activity during volatile anesthesia compared to TIVA: evidence from a novel EEG signal processing analysis—0
Reducing training requirements through evolutionary based dimension reduction and subject transfer—0
Relate auditory speech to EEG by shallow-deep attention-based network—0
Relating EEG recordings to speech using envelope tracking and the speech-FFR—0
Relating EEG to continuous speech using deep neural networks: a review—0
Relating the fundamental frequency of speech with EEG using a dilated convolutional network—0
Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural Beats—0
Reliability and validity of TMS-EEG biomarkers—0
Removal of Ocular Artifacts in EEG Using Deep Learning—0
REPAC: Reliable estimation of phase-amplitude coupling in brain networks—0
EPOC Emotiv EEG Basics—0
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG—0
Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification—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