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 1251–1300 of 1655 papers

TitleStatusHype
Attention-based Transfer Learning for Brain-computer Interface—0
End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNetsCode0
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method—0
Signal2Image Modules in Deep Neural Networks for EEG ClassificationCode0
Classification of Two-channel Signals by Means of Genetic Programming—0
Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG—0
Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts—0
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction—0
Advancing NLP with Cognitive Language Processing SignalsCode0
A Many Objective Optimization Approach for Transfer Learning in EEG Classification—0
Recognition of Advertisement Emotions with Application to Computational Advertising—0
Understanding language-elicited EEG data by predicting it from a fine-tuned language model—0
On the Vulnerability of CNN Classifiers in EEG-Based BCIs—0
Information Theoretic Feature Transformation Learning for Brain Interfaces—0
Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) Study—0
Adversarial Deep Learning in EEG Biometrics—0
Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study—0
The role of physiological complexity changes in resting-state EEG in clinical effectiveness of rTMS and tDCS in treatments of resistant depression—0
An Ensemble Learning Based Classification of Individual Finger Movement from EEG—0
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures—0
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network—0
Early Detection of Mental Stress Using Advanced Neuroimaging and Artificial Intelligence—0
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy—0
Machine Learning for removing EEG artifacts: Setting the benchmark—0
A semi-supervised deep learning algorithm for abnormal EEG identification—0
Emotion Recognition with Machine Learning Using EEG Signals—0
Noisy network attractor models for transitions between EEG microstates—0
An EEG-based Stereoscopic Research to Reveal the Brain's Response to What Happens Before and After Watching 2D and 3D Movies—0
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results—0
Emergence of Brain Rhythms: Model Interpretation of EEG Data—0
Labeler-hot Detection of EEG Epileptic Transients—0
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type ClassificationCode0
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning ApproachCode0
Speech Recognition with no speech or with noisy speech—0
1D Convolutional Neural Network Models for Sleep Arousal Detection—0
Cortical recruitment and functional dynamics in postural control adaptation and habituation during vibratory proprioceptive stimulation—0
A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB—0
Epileptic seizure classification using statistical sampling and a novel feature selection algorithm—0
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEGCode0
Gamma band oscillations reflect sensory and affective dimensions of pain—0
Disruption of the prefrontal cortex improves implicit contextual memory-guided attention: combined behavioural and electrophysiological evidence—0
Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates—0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling—0
Dynamical Component Analysis (DyCA) and its application on epileptic EEG—0
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals—0
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmarkCode0
Recurrent Neural Networks for P300-based BCICode0
Impact of the reference choice on scalp EEG connectivity estimation—0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems—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