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 201–225 of 1655 papers

TitleStatusHype
A TSK-type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue—0
Analysis of Blink Rate Variability during reading and memory testing—0
Adversarial Deep Learning in EEG Biometrics—0
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree—0
Analysis of artifacts in EEG signals for building BCIs—0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition—0
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Advancing Speech Synthesis using EEG—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
A streamable large-scale clinical EEG dataset for Deep Learning—0
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns—0
Advancing Speech Recognition With No Speech Or With Noisy Speech—0
A study of resting-state EEG biomarkers for depression recognition—0
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis—0
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions—0
A Technique Based on Chaos for Brain Computer Interfacing—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
A topological classifier to characterize brain states: When shape matters more than variance—0
A Multi-objective Evolutionary Algorithm for EEG Inverse Problem—0
A state-space model of cross-region dynamic connectivity in MEG/EEG—0
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback—0
Automated Diagnosis of Epilepsy Employing Multifractal Detrended Fluctuation Analysis Based Features—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