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 901–950 of 1655 papers

TitleStatusHype
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices—0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG DataCode0
Study on Compressed Sensing of Action Potential—0
Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions—0
Efficient Video Summarization Framework using EEG and Eye-tracking Signals—0
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram—0
Analysis of Relation between Motor Activity and Imaginary EEG Records—0
Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis—0
Online LDA based brain-computer interface system to aid disabled people—0
Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification—0
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks—0
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions—0
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction—0
4D Attention-based Neural Network for EEG Emotion Recognition—0
Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during Augmented Reality Scenarios—0
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information—0
MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging—0
Assessment of Subjective Creativity Skill Using EEG Induced Capsule Network—0
Conex-Connect: Learning Patterns in Extremal Brain Connectivity From Multi-Channel EEG Data—0
Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression ModelsCode0
Occipital and left temporal instantaneous amplitude and frequency oscillations correlated with access and phenomenal consciousnessCode0
Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection—0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals—0
Is the brain macroscopically linear? A system identification of resting state dynamicsCode0
Resting-state EEG sex classification using selected brain connectivity representation—0
Improving J-divergence of brain connectivity states by graph Laplacian denoising—0
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree—0
Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions—0
Light-Weight 1-D Convolutional Neural Network Architecture for Mental Task Identification and Classification Based on Single-Channel EEG—0
Improving EEG Decoding via Clustering-based Multi-task Feature Learning—0
Quantifying Synchronization in a Biologically Inspired Neural Network—0
Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG—0
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network—0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
Comparison of Attention-based Deep Learning Models for EEG Classification—0
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction—0
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso—0
Edge Deep Learning for Neural Implants—0
Anchored-STFT and GNAA: An extension of STFT in conjunction with an adversarial data augmentation technique for the decoding of neural signals—0
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video ProcessingCode0
Conditional canonical correlation estimation based on covariates with random forestsCode0
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period—0
Patient-independent Epileptic Seizure Prediction using Deep Learning Models—0
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording—0
Deep learning-based classification of fine hand movements from low frequency EEG—0
REPAC: Reliable estimation of phase-amplitude coupling in brain networks—0
Overlapping neural representations for the position of visible and imagined objects—0
Correlation based Multi-phasal models for improved imagined speech EEG recognition—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