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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1600 of 1655 papers

TitleStatusHype
Causal interpretation rules for encoding and decoding models in neuroimaging—0
Certainty based Reduced Sparse Solution for Dense Array EEG Source Localization—0
Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation—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
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
CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition—0
CLARA: Clinical Report Auto-completion—0
CLARE: Cognitive Load Assessment in REaltime with Multimodal Data—0
Classification and Recognition of Encrypted EEG Data Neural Network—0
Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity—0
Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement—0
Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir—0
Classification of Autism Spectrum Disorder Using Supervised Learning of Brain Connectivity Measures Extracted from Synchrostates—0
Classification of Brainwave Signals Based on Hybrid Deep Learning and an Evolutionary Algorithm—0
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals—0
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
Classification of EEG Signal based on non-Gaussian Neutral Vector—0
Classification of EEG Signals using Genetic Programming for Feature Construction—0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning—0
Classification of Epileptic EEG Signals by Wavelet based CFC—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Classification of grasping tasks based on EEG-EMG coherence—0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network—0
Classification of Imagined Speech Using Siamese Neural Network—0
Classification of Perceived Human Stress using Physiological Signals—0
Classification of sleep stages from EEG, EOG and EMG signals by SSNet—0
Classification of Two-channel Signals by Means of Genetic Programming—0
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis—0
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks—0
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers—0
Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance—0
Classifying Single-Trial EEG during Motor Imagery with a Small Training Set—0
Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals—0
Classifying Songs with EEG—0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
CLPVG: Circular limited penetrable visibility graph as a new network model for time series—0
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection—0
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation—0
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology—0
Combining Euclidean Alignment and Data Augmentation for BCI decoding—0
Combining Generative and Discriminative Neural Networks for Sleep Stages Classification—0
Comment on "On the Extraction of Purely Motor EEG Neural Correlates during an Upper Limb Visuomotor Task"—0
Show:102550
← PrevPage 32 of 34Next →
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