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 601–650 of 1655 papers

TitleStatusHype
Approximately optimal domain adaptation with Fisher's Linear Discriminant—0
Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression—0
Classification of EEG Signals using Genetic Programming for Feature Construction—0
Classification of EEG Signal based on non-Gaussian Neutral Vector—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
A Locally Adaptive Normal Distribution—0
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals—0
Classification of Brainwave Signals Based on Hybrid Deep Learning and an Evolutionary Algorithm—0
Application of Topological Data Analysis to Delirium Detection—0
Classification of Autism Spectrum Disorder Using Supervised Learning of Brain Connectivity Measures Extracted from Synchrostates—0
Application of statistical analysis to working memory problem—0
Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir—0
Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement—0
Application of Machine Learning to Sleep Stage Classification—0
Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity—0
Classification and Recognition of Encrypted EEG Data Neural Network—0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization—0
A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition—0
A comparison of single-trial EEG classification and EEG-informed fMRI across three MR compatible EEG recording systems—0
A Biologically Plausible Model for Rapid Natural Scene Identification—0
CLARE: Cognitive Load Assessment in REaltime with Multimodal Data—0
CLARA: Clinical Report Auto-completion—0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition—0
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition—0
Chronic iEEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states—0
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction—0
A-Phase classification using convolutional neural networks—0
Chirp Localization via Fine-Tuned Transformer Model: A Proof-of-Concept Study—0
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification—0
Algoritmos de minería de datos en la industria sanitaria—0
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction—0
Characterizing functional brain networks and emotional centers based on Rasa theory of Indian aesthetics—0
A penalized likelihood method for classification with matrix-valued predictors—0
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification—0
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process—0
A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs—0
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning—0
Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation—0
Anticipating epileptic seizures through the analysis of EEG synchronization as a data classification problem—0
Certainty based Reduced Sparse Solution for Dense Array EEG Source Localization—0
Anticipated synchronization in human EEG data: unidirectional causality with negative phase-lag—0
A large-scale evaluation framework for EEG deep learning architectures—0
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents—0
Causal interpretation rules for encoding and decoding models in neuroimaging—0
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection—0
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation—0
Carbogen inhalation during Non-Convulsive Status Epilepticus: A quantitative analysis of EEG recordings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35—Unverified
2DGCNNAccuracy69.88—Unverified
3DBNAccuracy66.77—Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08—Unverified