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 801–825 of 1655 papers

TitleStatusHype
Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural NetworkCode0
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
Genetic algorithm for feature selection of EEG heterogeneous data—0
Deep Multiway Canonical Correlation Analysis for Multi-Subject EEG Normalization—0
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing—0
HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks—0
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding—0
CNNATT: Deep EEG & fNIRS Real-Time Decoding of bimanual forces—0
Prefrontal cortex functional connectivity based on simultaneous record of electrical and hemodynamic responses associated with mental stress—0
Ensemble approach for detection of depression using EEG features—0
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition—0
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models—0
Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games—0
Real Time Vigilance Detection using Frontal EEG—0
The Spatial Selective Auditory Attention of Cochlear Implant Users in Different Conversational Sound Levels—0
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment—0
Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
Neuronal heterogeneity modulates phase-synchronization between unidirectionally coupled populations with excitation-inhibition balance—0
DM algorithms in healthindustry—0
CLPVG: Circular limited penetrable visibility graph as a new network model for time series—0
Update on the multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs: auditory, sensory and high-frequency sensory evoked potentials—0
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection—0
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition—0
Real-Time Emotion Classification Using EEG Data Stream in E-Learning ContextsCode1
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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