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 201–225 of 1655 papers

TitleStatusHype
Deep Generative Models for Physiological Signals: A Systematic Literature Review—0
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers—0
Classification of sleep stages from EEG, EOG and EMG signals by SSNet—0
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling—0
Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG—0
Ongoing EEG artifact correction using blind source separation—0
DreamDiffusion: Generating High-Quality Images from Brain EEG SignalsCode2
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning—0
Data Augmentation for Seizure Prediction with Generative Diffusion Model—0
Emotion Detection from EEG using Transfer Learning—0
Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper—0
Convolutional Monge Mapping Normalization for learning on sleep dataCode0
Multi-Modal Wireless Flexible Gel-Free Sensors with Edge Deep Learning for Detecting and Alerting Freezing of Gait in Parkinson's Patients—0
EEG and EMG dataset for the detection of errors introduced by an active orthosis device—0
Sequential Best-Arm Identification with Application to Brain-Computer Interface—0
EEG-based Sleep Staging with Hybrid Attention—0
Using EEG Signals to Assess Workload during Memory Retrieval in a Real-world Scenario—0
A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition—0
CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition—0
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals—0
Assessing Rate limits Using Behavioral and Neural Responses of Interaural-Time-Difference Cues in Fine-Structure and Envelope—0
Patient Independent Interictal Epileptiform Discharge Detection—0
An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance—0
Bayesian Inference on Brain-Computer Interfaces via GLASSCode0
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network—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