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 701–750 of 1655 papers

TitleStatusHype
Efficient Video Summarization Framework using EEG and Eye-tracking Signals—0
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams—0
A novel spike-and-wave automatic detection in EEG signals—0
Multi-class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum—0
Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder (ASD) (Extended Version)—0
Electroencephalogram Sensor Data Compression Using An Asymmetrical Sparse Autoencoder With A Discrete Cosine Transform Layer—0
Electroencephalogram Signal Processing with Independent Component Analysis and Cognitive Stress Classification using Convolutional Neural Networks—0
Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)—0
Electroencephalography based Classification of Long-term Stress using Psychological Labeling—0
Electroencephalography signal processing based on textural features for monitoring the driver's state by a Brain-Computer Interface—0
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognition—0
Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE) -- A novel ICA-based algorithm for removing myoelectric artifacts from EEG -- Part 2—0
Calibration of off-the-shelf low-cost wearable EEG headset for application in field studies—0
Electrophysiological indicators of gesture perception—0
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network—0
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs—0
Emergence of Brain Rhythms: Model Interpretation of EEG Data—0
EEG-connectivity: A fundamental guide and checklist for optimal study design and evaluation—0
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation—0
Emotion Detection from EEG using Transfer Learning—0
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals—0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting—0
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction—0
Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context—0
Emotion-robust EEG Classification for Motor Imagery—0
Emotion self-regulation training in major depressive disorder using simultaneous real-time fMRI and EEG neurofeedback—0
Emotion Specification from Musical Stimuli: An EEG Study with AFA and DFA—0
Modified swarm-based metaheuristics enhance Gradient Descent initialization performance: Application for EEG spatial filtering—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
EEG Classification based on Image Configuration in Social Anxiety Disorder—0
Brain waves are a repetition of a pause and an activity—0
Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier—0
Energy-Efficient Tree-Based EEG Artifact Detection—0
EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands—0
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity—0
Automated Sleep Staging via Parallel Frequency-Cut Attention—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
EEG-based video identification using graph signal modeling and graph convolutional neural network—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—0
Brain-Supervised Image Editing—0
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks—0
EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD—0
Brain Source Localization by Alternating Projection—0
Ensemble approach for detection of depression using EEG features—0
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures—0
Ensemble emotion recognizing with multiple modal physiological signals—0
AI Neurotechnology for Aging Societies -- Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods—0
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates—0
Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals—0
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—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