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 926–950 of 1655 papers

TitleStatusHype
Learning Patterns in Imaginary Vowels for an Intelligent Brain Computer Interface (BCI) Design—0
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modelingCode0
Monitoring Trust in Human-Machine Interactions for Public Sector Applications—0
Performance of Dual-Augmented Lagrangian Method and Common Spatial Patterns applied in classification of Motor-Imagery BCI—0
Electroencephalography signal processing based on textural features for monitoring the driver's state by a Brain-Computer Interface—0
Interoception Underlies The Therapeutic Effects of Mindfulness Meditation for Post-Traumatic Stress Disorder: A Randomized Clinical Trial—0
The "Sound of Silence" in EEG -- Cognitive voice activity detection—0
Application of Topological Data Analysis to Delirium Detection—0
Downsampling and geometric feature methods for EEG classification tasks with CNNs—0
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification—0
Interpreting Imagined Speech Waves with Machine Learning techniques—0
Latent neural source recovery via transcoding of simultaneous EEG-fMRI—0
Classifying Songs with EEG—0
Reduced neural activity during volatile anesthesia compared to TIVA: evidence from a novel EEG signal processing analysis—0
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task LassoCode1
EEG to fMRI Synthesis: Is Deep Learning a candidate?—0
Multi-center validation study of automated classification of pathological slowing in adult scalp electroencephalograms via frequency features—0
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review—0
Cross-individual Recognition of Emotions by a Dynamic Entropy based on Pattern Learning with EEG features—0
An Explainable Model for EEG Seizure Detection based on Connectivity Features—0
EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoisingCode1
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation—0
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEGCode1
EEG Channel Interpolation Using Deep Encoder-decoder NetwoksCode1
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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