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 276–300 of 1655 papers

TitleStatusHype
Amplifying the Neural Power Spectrum—0
A Rule-Based EEG Classification System for Discrimination of Hand Motor Attempts in Stroke Patients—0
A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data—0
Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques—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
Artifact Detection and Correction in EEG data: A Review—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 case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
Brain Source Localization by Alternating Projection—0
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music—0
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
A Review on understanding Brain, and Memory Retention and Recall Processes using EEG and fMRI techniques—0
A Many Objective Optimization Approach for Transfer Learning in EEG Classification—0
A review on Epileptic Seizure Detection using Machine Learning—0
A machine learning model for identifying cyclic alternating patterns in the sleeping brain—0
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results—0
A Biologically Plausible Model for Rapid Natural Scene Identification—0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?—0
A Machine Learning Approach to Automatic Classification of Eight Sleep Disorders—0
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram—0
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis—0
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian—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