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 751–775 of 1655 papers

TitleStatusHype
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer—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
Epileptic Seizures Detection Using Deep Learning Techniques: A Review—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
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis—0
Extension of the non-parametric cluster-based time-frequency statistics to the full time windows and to single condition tests—0
Detecting Dementia from Speech and Transcripts using Transformers—0
Evaluation of techniques for predicting seizure Build up—0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
Evidence of Task-Independent Person-Specific Signatures in EEG using Subspace Techniques—0
Examining Uniqueness and Permanence of the WAY EEG GAL dataset toward User Authentication—0
Detecting and Tracking The Real-time Hot Topics: A Study on Computational Neuroscience—0
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review—0
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction—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