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 351–400 of 1655 papers

TitleStatusHype
Certainty based Reduced Sparse Solution for Dense Array EEG Source Localization—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
Application of statistical analysis to working memory problem—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
Anticipated synchronization in human EEG data: unidirectional causality with negative phase-lag—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
Approximating DTW with a convolutional neural network on EEG data—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review—0
Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities—0
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors—0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network—0
Classification of Imagined Speech Using Siamese Neural Network—0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?—0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—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
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
Artifact Detection and Correction in EEG data: A Review—0
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review—0
Causal interpretation rules for encoding and decoding models in neuroimaging—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
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection—0
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognition—0
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection—0
Comparison of inverse problem linear and non-linear methods for localization source: a combined TMS-EEG study—0
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
Carbogen inhalation during Non-Convulsive Status Epilepticus: A quantitative analysis of EEG recordings—0
A semi-supervised deep learning algorithm for abnormal EEG identification—0
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology—0
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation—0
A Novel Transferability Attention Neural Network Model for EEG Emotion 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