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 51–75 of 1655 papers

TitleStatusHype
EEG-based Emotional Video Classification via Learning Connectivity StructureCode1
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access SystemCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli ClassificationCode1
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge DistillationCode1
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement PredictionCode1
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signalsCode1
Artificial Intelligence for EEG Prediction: Applied Chaos TheoryCode1
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery ClassificationCode1
A few filters are enough: Convolutional Neural Network for P300 DetectionCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
Disguising Personal Identity Information in EEG SignalsCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEGCode1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
Real-time noise cancellation with Deep LearningCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEGCode1
Decoding Natural Images from EEG for Object RecognitionCode1
Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal TransformerCode1
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor AnalyticsCode1
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution ShiftsCode1
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEGCode1
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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