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 551–575 of 1655 papers

TitleStatusHype
An Explainable Model for EEG Seizure Detection based on Connectivity Features—0
A New Statistical Model of Electroencephalogram Noise Spectra for Real-time Brain-Computer Interfaces—0
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis—0
A highly scalable repository of waveform and vital signs data from bedside monitoring devices—0
Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring—0
Adaptive neural network classifier for decoding MEG signals—0
Blink Rate Variability during resting and reading sessions—0
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease—0
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction—0
Biophysical aspects of neurocognitive modeling with long-term sustained temperature variations—0
Biomagnetic signals recorded during transcranial magnetic stimulation (TMS)-evoked peripheral muscular activity—0
A new model for the implementation of positive and negative emotion recognition—0
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals—0
Bioelectrical brain activity can predict prosocial behavior—0
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction—0
A New Method for Epileptic Seizure Classification in EEG Using Adapted Wavelet Packets—0
Binary classification of multi-channel EEG records based on the ε-complexity of continuous vector functions—0
Binary and Multiclass Classifiers based on Multitaper Spectral Features for Epilepsy Detection—0
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification—0
A Hierarchical Fuzzy System for an Advanced Driving Assistance System—0
DM algorithms in healthindustry—0
Differential EEG Characteristics during Working Memory Encoding and Re-encoding—0
Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study—0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling—0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection—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