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 1501–1525 of 1655 papers

TitleStatusHype
Deep learning with convolutional neural networks for EEG decoding and visualizationCode1
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEGCode1
Learning Deep Matrix Representations—0
Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).Code0
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable CouplingsCode0
Interactive Web Application for Exploring Matrices of Neural Connectivity—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression—0
Inherent fuzzy entropy for the improvement of EEG complexity evaluationCode0
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort—0
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)—0
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)—0
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization—0
Multi-feature classifiers for burst detection in single EEG channels from preterm infants—0
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis—0
Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification—0
Automatic sleep monitoring using ear-EEG—0
A computational investigation of the relationships between single-neuron and network dynamics in the cerebral cortex—0
EEG in the classroom: Synchronised neural recordings during video presentation—0
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces—0
An EEG study of creativity in expert classical musicians—0
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor AnalyticsCode1
Neural networks based EEG-Speech Models—0
Tensor-Based Fusion of EEG and FMRI to Understand Neurological Changes in Schizophrenia—0
A state-space model of cross-region dynamic connectivity in MEG/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