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 451–500 of 1655 papers

TitleStatusHype
Nonlinear and Machine Learning Analyses on High-Density EEG data of Math Experts and Novices—0
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces—0
Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI—0
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain PhysiologyCode0
Target-centered Subject Transfer Framework for EEG Data Augmentation—0
Power Spectral Density-Based Resting-State EEG Classification of First-Episode Psychosis—0
STILN: A Novel Spatial-Temporal Information Learning Network for EEG-based Emotion Recognition—0
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—0
Federated deep transfer learning for EEG decoding using multiple BCI tasks—0
A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning—0
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events—0
Brain informed transfer learning for categorizing construction hazards—0
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition—0
Single-channel EEG completion using Cascade Transformer—0
Motor imagery classification using EEG spectrograms—0
Review of medical data analysis based on spiking neural networks—0
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG—0
Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine LearningCode0
Performance and utility trade-off in interpretable sleep staging—0
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals—0
Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEGCode0
Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot studyCode0
Topological biomarkers for real-time detection of epileptic seizures—0
Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)—0
BCI-Walls: A robust methodology to predict success or failure in brain computer interfaces—0
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative ModelsCode0
Review on Classification Techniques used in Biophysiological Stress Monitoring—0
Automatic Seizure Prediction using CNN and LSTM—0
MAEEG: Masked Auto-encoder for EEG Representation Learning—0
Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context—0
Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset—0
Embedding neurophysiological signalsCode0
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices—0
Sparse Dynamical Features generation, application to Parkinson's Disease diagnosis—0
Analysis of Microstate Organization During Emotional Events—0
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithmCode0
Extreme-Long-short Term Memory for Time-series Prediction—0
Bandwidth-efficient distributed neural network architectures with application to body sensor networks—0
Toward the application of XAI methods in EEG-based systems—0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
The evolution of AI approaches for motor imagery EEG-based BCIs—0
Inner speech recognition through electroencephalographic signals—0
Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition—0
A review on Epileptic Seizure Detection using Machine Learning—0
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data—0
CogBERT: Cognition-Guided Pre-trained Language ModelsCode0
quEEGNet: Quantum AI for Biosignal Processing—0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning—0
Community Detection in Multi-frequency EEG Networks—0
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG—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