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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 751–775 of 1655 papers

TitleStatusHype
Brain Source Localization by Alternating Projection—0
Epileptic seizure classification using statistical sampling and a novel feature selection algorithm—0
Epileptic Seizure Detection: A Deep Learning Approach—0
Epileptic Seizure Detection and Classification using Time-Frequency Features in EEG Signals—0
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures—0
Epileptic Seizure Forecasting: Probabilistic seizure-risk assessment and data-fusion—0
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture—0
Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling—0
Epileptic Seizure Risk Assessment by Multi-Channel Imaging of the EEG—0
EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence—0
ESI-GAL: EEG Source Imaging-based Trajectory Estimation for Grasp and Lift Task—0
Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving—0
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG—0
Estimating vector fields using sparse basis field expansions—0
Evaluation of algorithms for correction of transcranial magnetic stimulation induced artifacts in electroencephalograms—0
AI Neurotechnology for Aging Societies -- Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods—0
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates—0
Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography—0
Evaluation of techniques for predicting seizure Build up—0
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—0
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm—0
Examining Uniqueness and Permanence of the WAY EEG GAL dataset toward User Authentication—0
EEG based stress analysis using rhythm specific spectral feature for video gameplay—0
EEG-based Sleep Staging with Hybrid Attention—0
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition—0
Show:102550
← PrevPage 31 of 67Next →
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