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 326–350 of 1655 papers

TitleStatusHype
Classification of EEG Signals using Genetic Programming for Feature Construction—0
A large-scale evaluation framework for EEG deep learning architectures—0
Anticipated synchronization in human EEG data: unidirectional causality with negative phase-lag—0
Classification of EEG Signal based on non-Gaussian Neutral Vector—0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning—0
Classification of grasping tasks based on EEG-EMG coherence—0
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation—0
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—0
Causal interpretation rules for encoding and decoding models in neuroimaging—0
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection—0
Certainty based Reduced Sparse Solution for Dense Array EEG Source Localization—0
Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation—0
Anticipating epileptic seizures through the analysis of EEG synchronization as a data classification problem—0
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process—0
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification—0
A penalized likelihood method for classification with matrix-valued predictors—0
Characterizing functional brain networks and emotional centers based on Rasa theory of Indian aesthetics—0
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification—0
Chirp Localization via Fine-Tuned Transformer Model: A Proof-of-Concept Study—0
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction—0
Chronic iEEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states—0
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition—0
CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition—0
CLARA: Clinical Report Auto-completion—0
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue 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