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 1426–1450 of 1655 papers

TitleStatusHype
Approximately optimal domain adaptation with Fisher's Linear Discriminant—0
Approximating DTW with a convolutional neural network on EEG data—0
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram—0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?—0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—0
A review on Epileptic Seizure Detection using Machine Learning—0
A Review on understanding Brain, and Memory Retention and Recall Processes using EEG and fMRI techniques—0
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures—0
Artifact Detection and Correction in EEG data: A Review—0
Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms—0
Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques—0
A Rule-Based EEG Classification System for Discrimination of Hand Motor Attempts in Stroke Patients—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
A semi-supervised deep learning algorithm for abnormal EEG identification—0
A simple EEG-based decision tool for neonatal therapeutic hypothermia in hypoxic-ischemic encephalopathy—0
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives—0
A single channel sleep-spindle detector based on multivariate classification of EEG epochs: MUSSDET.—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
Assessing Functional Neural Connectivity as an Indicator of Cognitive Performance—0
Assessing learned features of Deep Learning applied to EEG—0
Assessing Rate limits Using Behavioral and Neural Responses of Interaural-Time-Difference Cues in Fine-Structure and Envelope—0
Assessment of Subjective Creativity Skill Using EEG Induced Capsule Network—0
Assessment of Unconsciousness for Memory Consolidation Using EEG Signals—0
A state-space model of cross-region dynamic connectivity in MEG/EEG—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