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 651–675 of 1655 papers

TitleStatusHype
Detecting Dementia from Speech and Transcripts using Transformers—0
Subject Adaptive EEG-based Visual RecognitionCode0
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field—0
High-Sensitivity Electric Potential Sensors for Non-Contact Monitoring of Physiological Signals—0
Cortical representations of Auditory Perception using Graph Independent Component on EEG—0
A channel attention based MLP-Mixer network for motor imagery decoding with EEG—0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
Riemannian classification of EEG signals with missing values—0
ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain SignalsCode0
Joint SCSP-LROM: A novel approach to detect Cerebrovascular Anomalies from EEG signals—0
Towards EEG signals codification using contrastiveloss—0
Web Search via an Efficient and Effective Brain-Machine Interface—0
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition—0
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition—0
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network—0
Real-time EEG-based Emotion Recognition using Discrete Wavelet Transforms on Full and Reduced Channel Signals—0
Sensoring and Application of Multimodal Data for the Detection of Freezing of Gait in Parkinson's Disease—0
Novel EEG-based BCIs for Elderly Rehabilitation Enhancement—0
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia—0
Time Series Forecasting Using Manifold Learning—0
Using Single-Trial Representational Similarity Analysis with EEG to track semantic similarity in emotional word processing—0
Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm—0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
SOUL: An Energy-Efficient Unsupervised Online Learning Seizure Detection Classifier—0
Deep Neural Networks on EEG signals to predict Attention Score using Gramian Angular Difference Field—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