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
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective—0
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology—0
A semi-supervised deep learning algorithm for abnormal EEG identification—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation—0
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection—0
A Rule-Based EEG Classification System for Discrimination of Hand Motor Attempts in Stroke Patients—0
Amplifying the Neural Power Spectrum—0
CLPVG: Circular limited penetrable visibility graph as a new network model for time series—0
Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms—0
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups—0
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review—0
Artifact Detection and Correction in EEG data: A Review—0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
Classifying Songs with EEG—0
A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures—0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—0
A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data—0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning—0
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals—0
Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals—0
Classifying Single-Trial EEG during Motor Imagery with a Small Training Set—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