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 976–1000 of 1655 papers

TitleStatusHype
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification—0
Interpreting Imagined Speech Waves with Machine Learning techniques—0
Latent neural source recovery via transcoding of simultaneous EEG-fMRI—0
Classifying Songs with EEG—0
EEG to fMRI Synthesis: Is Deep Learning a candidate?—0
Reduced neural activity during volatile anesthesia compared to TIVA: evidence from a novel EEG signal processing analysis—0
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review—0
Multi-center validation study of automated classification of pathological slowing in adult scalp electroencephalograms via frequency features—0
Cross-individual Recognition of Emotions by a Dynamic Entropy based on Pattern Learning with EEG features—0
An Explainable Model for EEG Seizure Detection based on Connectivity Features—0
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation—0
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition—0
Analysis of artifacts in EEG signals for building BCIs—0
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors—0
Deep learning denoising for EOG artifacts removal from EEG signals—0
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings—0
Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals—0
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring—0
ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs—0
Transfer entropy applied on EEG in depression reveals aberrated dynamics—0
Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network—0
Classification of Imagined Speech Using Siamese Neural Network—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis—0
Anticipated synchronization in human EEG data: unidirectional causality with negative phase-lag—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