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 301–350 of 1655 papers

TitleStatusHype
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis—0
Classification of Imagined Speech Using Siamese Neural Network—0
Approximating DTW with a convolutional neural network on EEG data—0
Approximately optimal domain adaptation with Fisher's Linear Discriminant—0
Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
A Locally Adaptive Normal Distribution—0
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm—0
Application of Topological Data Analysis to Delirium Detection—0
Application of statistical analysis to working memory problem—0
A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition—0
Application of Machine Learning to Sleep Stage Classification—0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization—0
A comparison of single-trial EEG classification and EEG-informed fMRI across three MR compatible EEG recording systems—0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network—0
Classification of Perceived Human Stress using Physiological Signals—0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction—0
Classification of Epileptic EEG Signals by Wavelet based CFC—0
A-Phase classification using convolutional neural networks—0
Algoritmos de minería de datos en la industria sanitaria—0
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning—0
A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs—0
Classification of EEG Signals using Genetic Programming for Feature Construction—0
A large-scale evaluation framework for EEG deep learning architectures—0
Anticipated synchronization in human EEG data: unidirectional causality with negative phase-lag—0
Classification of EEG Signal based on non-Gaussian Neutral Vector—0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning—0
Classification of grasping tasks based on EEG-EMG coherence—0
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation—0
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device—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
Certainty based Reduced Sparse Solution for Dense Array EEG Source Localization—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
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process—0
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification—0
A penalized likelihood method for classification with matrix-valued predictors—0
Characterizing functional brain networks and emotional centers based on Rasa theory of Indian aesthetics—0
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification—0
Chirp Localization via Fine-Tuned Transformer Model: A Proof-of-Concept Study—0
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction—0
Chronic iEEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states—0
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition—0
CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition—0
CLARA: Clinical Report Auto-completion—0
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognition—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